Triple

T4734800
Position Surface form Disambiguated ID Type / Status
Subject Otero County, Colorado E105096 entity
Predicate hasTown P847 FINISHED
Object Manzanola, Colorado E518854 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: Manzanola, Colorado | Statement: [Otero County, Colorado, hasTown, Manzanola, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzanola, Colorado
Context triple: [Otero County, Colorado, hasTown, Manzanola, Colorado]
  • A. Manzanola, Colorado chosen
    Manzanola, Colorado is a small rural town in southeastern Colorado known for its agricultural community and location along the Arkansas River Valley.
  • B. La Veta, Colorado
    La Veta, Colorado is a small historic town in southern Colorado known as a gateway to the Spanish Peaks and the scenic Highway of Legends.
  • C. Blende, Colorado
    Blende, Colorado is a small unincorporated community and census-designated place located near the city of Pueblo in southern Colorado.
  • D. Aguilar, Colorado
    Aguilar, Colorado is a small historic town in southern Colorado that developed as a coal-mining and railroad community.
  • E. Monte Vista, Colorado
    Monte Vista, Colorado is a small city in the San Luis Valley known for its agricultural heritage and as a gateway to outdoor recreation in southern Colorado.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd648148b48190ae30631115339ba1 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486aabac8190a90b4402403078ac completed March 22, 2026, 1:39 a.m.
Created at: March 20, 2026, 1:19 p.m.