Triple

T12429009
Position Surface form Disambiguated ID Type / Status
Subject Simon Bradstreet E296974 entity
Predicate residence P75 FINISHED
Object Andover, Massachusetts E203201 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: Andover, Massachusetts | Statement: [Simon Bradstreet, residence, Andover, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover, Massachusetts
Context triple: [Simon Bradstreet, residence, Andover, Massachusetts]
  • A. Andover
    Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
  • B. Andover chosen
    Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
  • C. Andover
    Andover is a small rural town in northeastern Connecticut known for its lakes, forests, and residential character.
  • D. Medford, Massachusetts
    Medford, Massachusetts is a historic city just northwest of Boston, known for being the home of Tufts University and for its role in early American colonial and industrial history.
  • E. Newton, Massachusetts
    Newton, Massachusetts is a suburban city west of Boston known for its affluent residential neighborhoods, strong public schools, and village-style layout without a traditional downtown.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ddc688190bddb242d67fa6e89 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ea3ec588190bca355953267578f completed May 2, 2026, 11:54 p.m.
Created at: April 8, 2026, 9:55 p.m.