Triple

T36477563
Position Surface form Disambiguated ID Type / Status
Subject Harper Woods City Hall E898712 entity
Predicate operatedBy P86 FINISHED
Object City of Harper Woods administration
The City of Harper Woods administration is the municipal governing body responsible for managing city services, policies, and operations in Harper Woods, Michigan.
E2185815 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: City of Harper Woods administration | Statement: [Harper Woods City Hall, operatedBy, City of Harper Woods administration]
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: City of Harper Woods administration
Triple: [Harper Woods City Hall, operatedBy, City of Harper Woods administration]
Generated description
The City of Harper Woods administration is the municipal governing body responsible for managing city services, policies, and operations in Harper Woods, Michigan.

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_69f76e5a0e088190a2b6706aeb41723c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7bdd899c88190a97ddc6cf978e5fc completed May 3, 2026, 9:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6d0cfd08190a1d959c3eac0df2a completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e7a923308190bb61adfe9f1010d5 completed June 23, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a39e81c61f88190b06851eee8ea6f71 completed June 23, 2026, 1:57 a.m.
Created at: May 3, 2026, 4:10 p.m.