Triple

T14429293
Position Surface form Disambiguated ID Type / Status
Subject North Andover E357778 entity
Predicate adjacentTo P224 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: [North Andover, adjacentTo, Andover, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover, Massachusetts
Context triple: [North Andover, adjacentTo, 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91154de881909266ae88d1545685 completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe387f28688190b9d20f1e2bbc0ddc completed May 8, 2026, 7:24 p.m.
Created at: April 10, 2026, 1:18 a.m.