Triple

T1679639
Position Surface form Disambiguated ID Type / Status
Subject Woodstock E36309 entity
Predicate hasBuilding P105 FINISHED
Object Town Hall, Woodstock E9383 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: Town Hall, Woodstock | Statement: [Woodstock, hasBuilding, Town Hall, Woodstock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town Hall, Woodstock
Context triple: [Woodstock, hasBuilding, Town Hall, Woodstock]
  • A. Woodstock Town Hall chosen
    Woodstock Town Hall is a historic municipal building and focal point of civic life in the market town of Woodstock, Oxfordshire.
  • B. Belmont Town Hall
    Belmont Town Hall is the central municipal building in Belmont, Massachusetts, housing key town government offices and public meeting spaces.
  • C. Mechanics Hall
    Mechanics Hall is a historic 19th-century concert and events venue in downtown Worcester, Massachusetts, renowned for its architecture and acoustics.
  • D. Watertown City Hall
    Watertown City Hall is the main municipal government building and administrative center serving the city of Watertown, Massachusetts.
  • E. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa6260afb881909a50e80c8211fa08 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bce0d48190ba3762fabd0bcdd6 completed March 8, 2026, 12:55 p.m.
Created at: March 4, 2026, 7:29 p.m.