Triple

T28682179
Position Surface form Disambiguated ID Type / Status
Subject Village of Hanover Park E726034 entity
Predicate hasFireDepartment P464 FINISHED
Object Hanover Park Fire Department
The Hanover Park Fire Department is the municipal agency responsible for providing fire protection, emergency medical services, and related public safety functions to the community of Hanover Park.
E1828396 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: Hanover Park Fire Department | Statement: [Village of Hanover Park, hasFireDepartment, Hanover Park Fire Department]
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: Hanover Park Fire Department
Triple: [Village of Hanover Park, hasFireDepartment, Hanover Park Fire Department]
Generated description
The Hanover Park Fire Department is the municipal agency responsible for providing fire protection, emergency medical services, and related public safety functions to the community of Hanover Park.

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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f6567e99848190a67a9b7071bad339 completed May 2, 2026, 7:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc3ac5cf8819080560b26a34d351c completed May 31, 2026, 11:26 p.m.
NEDg Description generation batch_6a1cc46491208190b29352509e2dbc79 completed May 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc5027a4881908055cfa03af83b64 completed May 31, 2026, 11:32 p.m.
Created at: April 28, 2026, 5:10 a.m.