Triple

T18227780
Position Surface form Disambiguated ID Type / Status
Subject Bangor City Council E436462 entity
Predicate meetsAt P373 FINISHED
Object Bangor City Hall NE NERFINISHED

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: Bangor City Hall | Statement: [Bangor City Council, meetsAt, Bangor City Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangor City Hall
Context triple: [Bangor City Council, meetsAt, Bangor City Hall]
  • A. Bangor City Hall chosen
    Bangor City Hall is the historic municipal government building and civic landmark located in downtown Bangor, Maine.
  • B. Bangor City Council
    Bangor City Council is the elected local governing body responsible for setting policy, passing ordinances, and overseeing municipal services for the city of Bangor, Maine.
  • C. City of Bangor
    The City of Bangor is a municipality in Maine that serves as a regional economic, cultural, and service hub for the surrounding area.
  • D. Douglas Town Hall
    Douglas Town Hall is the principal municipal building and administrative center of the town of Douglas on the Isle of Man.
  • E. Bethel Town Hall
    Bethel Town Hall is the central municipal building in Bethel, Connecticut, housing the town’s government offices and administrative functions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f4b0ed5c819096f4fd3a8debc1a4 completed April 19, 2026, 3:28 p.m.
Created at: April 10, 2026, 10:32 a.m.