Triple

T8173073
Position Surface form Disambiguated ID Type / Status
Subject Orange County, Vermont E190871 entity
Predicate containsSettlement P847 FINISHED
Object Orange, Vermont E226326 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: Orange, Vermont | Statement: [Orange County, Vermont, containsSettlement, Orange, Vermont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange, Vermont
Context triple: [Orange County, Vermont, containsSettlement, Orange, Vermont]
  • A. Orange, Vermont chosen
    Orange, Vermont is a small rural town in central Vermont known for its scenic landscape and quiet, close-knit community.
  • B. Orwell, Vermont
    Orwell, Vermont is a small rural town in southwestern Vermont known for its agricultural landscape and historic New England character.
  • C. Orange, New Hampshire
    Orange, New Hampshire is a small rural town in Grafton County known for its mountainous terrain and proximity to Mount Cardigan.
  • D. Warren, Vermont
    Warren, Vermont is a small New England town in the Mad River Valley known for its scenic mountain setting, outdoor recreation, and proximity to Sugarbush Resort.
  • E. Walden, Vermont
    Walden, Vermont is a small rural town located in northeastern Vermont within Caledonia County, known for its scenic landscapes and quiet, agricultural 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_69ca82c1c0a08190bf8692b4d91a03ca completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb48092b348190a37cb3746a434094 completed March 31, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2571ac8ec8190bf59c2cec5e2e6e2 completed April 5, 2026, 12:35 p.m.
Created at: March 30, 2026, 5:39 p.m.