Triple

T2860752
Position Surface form Disambiguated ID Type / Status
Subject Academy Building E63313 entity
Predicate locatedIn P40 FINISHED
Object Exeter, New Hampshire E97185 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: Exeter, New Hampshire | Statement: [Academy Building, locatedIn, Exeter, New Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Exeter, New Hampshire
Context triple: [Academy Building, locatedIn, Exeter, New Hampshire]
  • A. Exeter, New Hampshire chosen
    Exeter, New Hampshire is a historic New England town on the Squamscott River known for its colonial heritage and as the home of the prestigious Phillips Exeter Academy.
  • B. Salem, New Hampshire
    Salem, New Hampshire is a town in Rockingham County known as a commercial hub in southern New Hampshire near the Massachusetts border.
  • C. Kingston, New Hampshire
    Kingston, New Hampshire is a small historic town in southeastern New Hampshire known for its colonial-era architecture and traditional New England character.
  • D. Manchester, New Hampshire
    Manchester, New Hampshire is the largest city in the state and a historic industrial and commercial hub of northern New England.
  • E. Farmington, New Hampshire
    Farmington, New Hampshire is a small town in Strafford County known historically for its shoe manufacturing industry and rural New England character.
  • 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8c676c8190ab29f89d50bd09c3 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4f00fe39481908cee24dc57be2b3b completed March 14, 2026, 5:20 a.m.
Created at: March 6, 2026, 10:02 p.m.