Triple

T9537408

Position	Surface form	Disambiguated ID	Type / Status
Subject	Government of the City of Philadelphia	`E230052`	entity
Predicate	hasAgency	`P3933`	FINISHED
Object	Philadelphia Office of the Inspector General The Philadelphia Office of the Inspector General is an independent municipal watchdog agency that investigates and helps prevent fraud, corruption, and misconduct within Philadelphia’s city government.	`E804899`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Philadelphia Office of the Inspector General | Statement: [Government of the City of Philadelphia, hasAgency, Philadelphia Office of the Inspector General]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Philadelphia Office of the Inspector General
Context triple: [Government of the City of Philadelphia, hasAgency, Philadelphia Office of the Inspector General]

A. Office of the Inspector General
The Office of the Inspector General is an independent oversight office within the U.S. Department of Health and Human Services responsible for preventing and detecting fraud, waste, and abuse in the department’s programs and operations.
B. Office of Inspector General
The Office of Inspector General is an independent oversight body within the U.S. Department of the Interior responsible for auditing, investigating, and preventing fraud, waste, and abuse in the department’s programs and operations.
C. Office of Inspector General
The Office of Inspector General is an independent oversight body within NASA responsible for auditing, investigating, and preventing fraud, waste, and abuse in the agency’s programs and operations.
D. Office of Inspector General
The Office of Inspector General is an independent oversight body within the FDIC that conducts audits, investigations, and evaluations to prevent fraud, waste, and abuse and to promote efficiency and integrity in the agency’s programs and operations.
E. Office of Inspector General
The Office of Inspector General is an independent oversight body within the U.S. Department of Transportation that conducts audits and investigations to prevent waste, fraud, and abuse and to promote efficiency and integrity in the department’s programs and operations.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Philadelphia Office of the Inspector General
Triple: [Government of the City of Philadelphia, hasAgency, Philadelphia Office of the Inspector General]

Generated description

The Philadelphia Office of the Inspector General is an independent municipal watchdog agency that investigates and helps prevent fraud, corruption, and misconduct within Philadelphia’s city government.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Philadelphia Office of the Inspector General
Target entity description: The Philadelphia Office of the Inspector General is an independent municipal watchdog agency that investigates and helps prevent fraud, corruption, and misconduct within Philadelphia’s city government.

A. Office of the Inspector General
The Office of the Inspector General is an independent oversight office within the U.S. Department of Health and Human Services responsible for preventing and detecting fraud, waste, and abuse in the department’s programs and operations.
B. Office of Inspector General
The Office of Inspector General is an independent oversight body within the U.S. Department of the Interior responsible for auditing, investigating, and preventing fraud, waste, and abuse in the department’s programs and operations.
C. Office of Inspector General
The Office of Inspector General is an independent oversight body within NASA responsible for auditing, investigating, and preventing fraud, waste, and abuse in the agency’s programs and operations.
D. Office of Inspector General
The Office of Inspector General is an independent oversight body within the FDIC that conducts audits, investigations, and evaluations to prevent fraud, waste, and abuse and to promote efficiency and integrity in the agency’s programs and operations.
E. Office of Inspector General
The Office of Inspector General is an independent oversight body within the U.S. Department of Transportation that conducts audits and investigations to prevent waste, fraud, and abuse and to promote efficiency and integrity in the department’s programs and operations.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ca847b1b3081908f72bc932c17cc41`	completed	March 30, 2026, 2:11 p.m.
NER	Named-entity recognition	`batch_69cd98ce884c8190a8b3c2dc7c73c2c9`	completed	April 1, 2026, 10:14 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69d14c5684308190a9cb2942f7d2f2b0`	completed	April 4, 2026, 5:37 p.m.
NEDg	Description generation	`batch_69d14ce2abe48190b554d08ca34508b0`	completed	April 4, 2026, 5:39 p.m.
NED2	Entity disambiguation (via description)	`batch_69d14d6abc9481909401a8cc097c304d`	completed	April 4, 2026, 5:42 p.m.

Created at: March 30, 2026, 8:01 p.m.