Triple

T4352459
Position Surface form Disambiguated ID Type / Status
Subject Commander Field Army E98058 entity
Predicate basedIn P40 FINISHED
Object Andover E182020 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 | Statement: [Commander Field Army, basedIn, Andover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover
Context triple: [Commander Field Army, basedIn, Andover]
  • A. Andover chosen
    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
    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. Andover, Maine
    Andover, Maine is a small rural town in Oxford County known for its scenic western Maine mountains, outdoor recreation, and historic New England character.
  • E. North Andover
    North Andover is a suburban town in northeastern Massachusetts known for its residential character, historic sites, and proximity to the city of Lawrence.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351ab03488190a8900de98fb4a00e completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd336af7c48190956add895fff9c21 completed April 1, 2026, 3:02 p.m.
Created at: March 12, 2026, 11:15 p.m.