Triple

T35082933
Position Surface form Disambiguated ID Type / Status
Subject Will County government E1012493 entity
Predicate hasLegislativeBody P239 FINISHED
Object Will County Board
The Will County Board is the elected legislative body responsible for setting policy, passing ordinances, and overseeing the budget for Will County, Illinois.
E2124534 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: Will County Board | Statement: [Will County government, hasLegislativeBody, Will County Board]
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: Will County Board
Triple: [Will County government, hasLegislativeBody, Will County Board]
Generated description
The Will County Board is the elected legislative body responsible for setting policy, passing ordinances, and overseeing the budget for Will County, Illinois.

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_69f76dd32c008190853aef6028f60208 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78ba91ef88190acde9288ae1fed0a completed May 3, 2026, 5:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37c64ced18819081db885490b3c64c completed June 21, 2026, 11:09 a.m.
NEDg Description generation batch_6a37ca2c2e3c8190a0ec85c6a874bb8f completed June 21, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_6a37ca86c39c8190a7fdcbf7a4170f4e completed June 21, 2026, 11:27 a.m.
Created at: May 3, 2026, 4:01 p.m.