Triple

T4844929
Position Surface form Disambiguated ID Type / Status
Subject Belmont Town Administrator E108264 entity
Predicate hasSeat P3522 FINISHED
Object Belmont Town Hall E109997 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: Belmont Town Hall | Statement: [Belmont Town Administrator, hasSeat, Belmont Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Belmont Town Hall
Context triple: [Belmont Town Administrator, hasSeat, Belmont Town Hall]
  • A. Belmont Town Hall chosen
    Belmont Town Hall is the central municipal building in Belmont, Massachusetts, housing key town government offices and public meeting spaces.
  • B. Malden City Hall
    Malden City Hall is the main municipal government building for the city of Malden, Massachusetts, housing city offices and serving as the center of local administration.
  • C. Roxbury Town Hall
    Roxbury Town Hall is the central municipal building and administrative hub for the town of Roxbury, Connecticut.
  • D. Melrose City Hall
    Melrose City Hall is the central municipal government building serving the city of Melrose, Massachusetts.
  • E. Bushnell Memorial Hall
    Bushnell Memorial Hall is a historic performing arts venue in Hartford, Connecticut, renowned for hosting Broadway tours, concerts, and cultural events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4409b264819085ab855f3eb5381a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d020e5c8190aa9ceb4258e713c3 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cd29c9c8190ab4ca5463ef99c15 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:25 p.m.