Triple

T6604072
Position Surface form Disambiguated ID Type / Status
Subject Upper Falls E149066 entity
Predicate hasMunicipalGovernment P3291 FINISHED
Object City of Newton E35940 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: City of Newton | Statement: [Upper Falls, hasMunicipalGovernment, City of Newton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Newton
Context triple: [Upper Falls, hasMunicipalGovernment, City of Newton]
  • A. City of Newton, Massachusetts chosen
    The City of Newton, Massachusetts is a suburban municipality just west of Boston, known for its village-style neighborhoods, strong public schools, and affluent residential character.
  • B. Newtonville
    Newtonville is a residential and commercial village within the city of Newton, Massachusetts, known for its commuter rail access and small-town center.
  • C. West Newton
    West Newton is a residential village and historic neighborhood within the city of Newton, Massachusetts.
  • D. West Newton
    West Newton is a small village in Norfolk, England, known for its rural character and proximity to the royal Sandringham Estate.
  • E. Waban, Newton
    Waban is a village and residential neighborhood within the city of Newton, Massachusetts, known for its suburban character and historic homes.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af11f0788190be010c6ee60e150c completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e43aaa8c8190b7fb3666e4209a75 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.