Triple

T36926005
Position Surface form Disambiguated ID Type / Status
Subject Mayor of Boulder E913343 entity
Predicate officeHeldByHeadOfGovernment P4757 FINISHED
Object Boulder city government
The Boulder city government is the municipal governing body responsible for administering local services, policies, and regulations for the city of Boulder, Colorado.
E266025 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: Boulder city government | Statement: [Mayor of Boulder, officeHeldByHeadOfGovernment, Boulder city government]
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: Boulder city government
Triple: [Mayor of Boulder, officeHeldByHeadOfGovernment, Boulder city government]
Generated description
The Boulder city government is the municipal governing body responsible for administering local services, policies, and regulations for the city of Boulder, Colorado.

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_69f76e896c988190880c130e01303dd4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fde1fbf881909e5474d99404cdfc completed May 5, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c2c1890819097dd8a82b2428fca completed June 26, 2026, 7:37 a.m.
NEDg Description generation batch_6a3e2cc79bf48190bb9a618e132af7c8 completed June 26, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3e4f689ba48190865b3b207c795ef7 completed June 26, 2026, 10:07 a.m.
Created at: May 3, 2026, 4:13 p.m.