Triple

T29350931
Position Surface form Disambiguated ID Type / Status
Subject Hazel Park Police Department E744309 entity
Predicate lawTypeEnforced P11901 FINISHED
Object Hazel Park municipal code
The Hazel Park municipal code is the body of local laws and regulations governing the city of Hazel Park, Michigan, covering areas such as public safety, zoning, and community standards.
E1863976 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: Hazel Park municipal code | Statement: [Hazel Park Police Department, lawTypeEnforced, Hazel Park municipal code]
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: Hazel Park municipal code
Triple: [Hazel Park Police Department, lawTypeEnforced, Hazel Park municipal code]
Generated description
The Hazel Park municipal code is the body of local laws and regulations governing the city of Hazel Park, Michigan, covering areas such as public safety, zoning, and community standards.

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_69f0a79a2d748190bc30abd469298b37 completed April 28, 2026, 12:27 p.m.
NER Named-entity recognition batch_69f6695ae22c81909ad4232e6847a078 completed May 2, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a25c0f05a8881909d69b38def03392c completed June 7, 2026, 7:05 p.m.
NEDg Description generation batch_6a25c577f2f4819080f67d4dc0e30517 completed June 7, 2026, 7:24 p.m.
NED2 Entity disambiguation (via description) batch_6a25c9749478819097c4de95edc92a26 completed June 7, 2026, 7:41 p.m.
Created at: April 28, 2026, 2:06 p.m.