Triple

T6036045
Position Surface form Disambiguated ID Type / Status
Subject Andover station E134423 entity
Predicate locatedIn P40 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: [Andover station, locatedIn, Andover, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover, Massachusetts
Context triple: [Andover station, locatedIn, 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b4e3ec819089b2d119ea2953fe completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69d29964080881909fd07de536667fbd completed April 5, 2026, 5:18 p.m.
Created at: March 22, 2026, 4:08 p.m.