Triple

T31774805

Position	Surface form	Disambiguated ID	Type / Status
Subject	Romanian law enforcement agencies	`E811036`	entity
Predicate	hasMainAgency	`P10898`	FINISHED
Object	Romanian Police The Romanian Police is the national civilian law enforcement body of Romania, responsible for maintaining public order, preventing and investigating crime, and enforcing the country’s laws.	`E232164`	NE FINISHED

How this triple was built (3 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: Romanian Police | Statement: [Romanian law enforcement agencies, hasMainAgency, Romanian Police]

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: Romanian Police
Triple: [Romanian law enforcement agencies, hasMainAgency, Romanian Police]

Generated description

The Romanian Police is the national civilian law enforcement body of Romania, responsible for maintaining public order, preventing and investigating crime, and enforcing the country’s laws.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasMainAgency
Context triple: [Romanian law enforcement agencies, hasMainAgency, Romanian Police]

A. hadAgency
Indicates that an entity actively initiated, controlled, or was responsible for an action or outcome, rather than being a passive participant.
B. isAgencyFor
Indicates that one entity functions as an agent or representative acting on behalf of another entity.
C. hasParentAgencyType
Indicates that an agency is associated with or falls under a parent agency of a specified type.
D. hasKeyAgency chosen
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
E. hasMainRepresentative
Indicates that one entity serves as the primary or official representative of another entity.
F. None of above.

Provenance (6 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_69f348e544a48190ab6e700b05f6438c`	completed	April 30, 2026, 12:19 p.m.
NER	Named-entity recognition	`batch_6a0049e40d60819081e3899d8d9fca51`	completed	May 10, 2026, 9:03 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2d9d543d3881909e683468ba168186`	completed	June 13, 2026, 6:11 p.m.
NEDg	Description generation	`batch_6a2d9f96ca3081909f81be6d5c063c8e`	completed	June 13, 2026, 6:21 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2da00bad0c81908db156bae068f677`	completed	June 13, 2026, 6:23 p.m.
PD	Predicate disambiguation	`batch_6a0048c47b548190ad31b2901cc3784a`	completed	May 10, 2026, 8:58 a.m.

Created at: April 30, 2026, 11:34 p.m.