Triple

T640022
Position Surface form Disambiguated ID Type / Status
Subject Littleton Common E16715 entity
Predicate hasLandmark P105 FINISHED
Object Littleton Town Hall E17965 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: Littleton Town Hall | Statement: [Littleton Common, hasLandmark, Littleton Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Littleton Town Hall
Context triple: [Littleton Common, hasLandmark, Littleton Town Hall]
  • A. Littleton Town Hall chosen
    Littleton Town Hall is the central municipal building in Littleton, Massachusetts, housing the town’s government offices and public meeting spaces.
  • B. Newton City Hall
    Newton City Hall is the main municipal government building and administrative center for the city of Newton, Massachusetts.
  • C. Woodstock Town Hall
    Woodstock Town Hall is a historic municipal building and focal point of civic life in the market town of Woodstock, Oxfordshire.
  • D. Canton Hall
    Canton Hall is a historic live music and event venue located in Dallas’s Deep Ellum entertainment district.
  • E. Roger Stevens Building
    The Roger Stevens Building is a prominent modernist lecture theatre complex at the University of Leeds, noted for its distinctive brutalist architecture and central role in campus teaching.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49f0189b08190a584b744f36fa761 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5778daa0881908311823d8db543ae completed March 2, 2026, 11:42 a.m.
Created at: March 1, 2026, 7:35 p.m.