Triple

T38205296
Position Surface form Disambiguated ID Type / Status
Subject Mercer County government E1009181 entity
Predicate hasOffice P1268 FINISHED
Object Mercer County Treasurer
The Mercer County Treasurer is the elected official responsible for managing Mercer County’s finances, including collecting taxes, safeguarding public funds, and overseeing disbursements.
E2261882 NE FINISHED

How this triple was built (2 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: Mercer County Treasurer | Statement: [Mercer County government, hasOffice, Mercer County Treasurer]
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: Mercer County Treasurer
Triple: [Mercer County government, hasOffice, Mercer County Treasurer]
Generated description
The Mercer County Treasurer is the elected official responsible for managing Mercer County’s finances, including collecting taxes, safeguarding public funds, and overseeing disbursements.

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_69f76dc94fcc8190bd2f55e81f9d6527 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb13065188190895969c9235b0431 completed May 7, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4193bd333c8190aee12f9d3884721d completed June 28, 2026, 9:35 p.m.
NEDg Description generation batch_6a4194386c2081908f489f29042091a7 completed June 28, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_6a4194ae849c8190ad01ba5ede914085 completed June 28, 2026, 9:39 p.m.
Created at: May 3, 2026, 4:30 p.m.