Triple

T17387080
Position Surface form Disambiguated ID Type / Status
Subject Mount Taylor E422713 entity
Predicate nearestCity P350 FINISHED
Object Grants, New Mexico NE NERFINISHED

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: Grants, New Mexico | Statement: [Mount Taylor, nearestCity, Grants, New Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grants, New Mexico
Context triple: [Mount Taylor, nearestCity, Grants, New Mexico]
  • A. Grants, New Mexico chosen
    Grants, New Mexico is a small city in western New Mexico known historically for its uranium mining industry and its location along historic U.S. Route 66.
  • B. Grenville, New Mexico
    Grenville, New Mexico is a small rural village located in Union County in the northeastern part of the state.
  • C. Grady, New Mexico
    Grady, New Mexico is a small rural village located in Curry County in the eastern part of the state.
  • D. Knowles, New Mexico
    Knowles, New Mexico is a small unincorporated community located in Lea County in southeastern New Mexico.
  • E. Grant County, New Mexico
    Grant County, New Mexico is a rural county in southwestern New Mexico known for its mining history, rugged mountain landscapes, and the historic town of Silver City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8a93f48190a31f5cc58d950758 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.