Triple

T3209094
Position Surface form Disambiguated ID Type / Status
Subject Pueblo Community College E67235 entity
Predicate city P40 FINISHED
Object Pueblo E310991 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: Pueblo | Statement: [Pueblo Community College, city, Pueblo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pueblo
Context triple: [Pueblo Community College, city, Pueblo]
  • A. Pueblo chosen
    Pueblo is a city in southern Colorado known for its steel industry heritage, location along the Arkansas River, and diverse cultural history.
  • B. Taos
    Taos is a historic town in northern New Mexico known for its rich Native American and Spanish heritage, thriving arts community, and proximity to scenic high-desert and mountain landscapes.
  • C. Pecos
    Pecos is a historic village in northern New Mexico known for its rich Indigenous and Spanish colonial heritage, nearby ancient pueblo ruins, and scenic location along the Pecos River.
  • D. San Luis
    San Luis is a residential and commercial district located in the eastern part of Lima, Peru.
  • E. San Luis
    San Luis is a municipality and town in western Cuba known for its agricultural activities within Pinar del Río Province.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa59888481908bdaefa1968d7f04 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b262278ea48190a2664bda9af1632a completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.