Triple

T13563268
Position Surface form Disambiguated ID Type / Status
Subject Ira S. Haseltine E323963 entity
Predicate placeOfBirth P1 FINISHED
Object Andover, Vermont E818319 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, Vermont | Statement: [Ira S. Haseltine, placeOfBirth, Andover, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andover, Vermont
Context triple: [Ira S. Haseltine, placeOfBirth, Andover, Vermont]
  • A. Andover, Vermont chosen
    Andover, Vermont is a small rural town in southeastern Vermont known for its scenic Green Mountain landscapes and quiet, residential character.
  • B. Cambridge, Vermont
    Cambridge, Vermont is a small town in northern Vermont known for its rural landscape, outdoor recreation, and proximity to the Smugglers' Notch ski area.
  • C. 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.
  • D. New Haven, Vermont
    New Haven, Vermont is a small rural town in Addison County known for its agricultural landscape and views of the Green Mountains.
  • E. Bridgewater, Vermont
    Bridgewater, Vermont is a small rural town in central Vermont known for its scenic Green Mountain setting and historic village 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00bbe848190bb33efe2af528295 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78add2b0c8190ade1af991744c4e0 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:47 p.m.