Triple

T12910805
Position Surface form Disambiguated ID Type / Status
Subject Cortez, Colorado E308857 entity
Predicate hasNearbyCity P350 FINISHED
Object Dolores, Colorado E689318 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: Dolores, Colorado | Statement: [Cortez, Colorado, hasNearbyCity, Dolores, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dolores, Colorado
Context triple: [Cortez, Colorado, hasNearbyCity, Dolores, Colorado]
  • A. Dolores, Colorado chosen
    Dolores, Colorado is a small historic town in Montezuma County known as a gateway to the San Juan Mountains and nearby archaeological and outdoor recreation sites.
  • B. Rosita, Colorado
    Rosita, Colorado is a historic former silver-mining town in Custer County that is now largely a ghost town and unincorporated community.
  • C. Cortez, Colorado
    Cortez, Colorado is a small city in southwestern Colorado known as a gateway to Mesa Verde National Park and the Four Corners region.
  • D. 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.
  • E. Montezuma, Colorado
    Montezuma, Colorado is a small historic mountain town in the Colorado Rockies known for its mining heritage and scenic alpine surroundings.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5b2fb308190ab041a9cfe39087c completed May 8, 2026, 12:23 p.m.
Created at: April 9, 2026, 5:41 p.m.