Triple

T18085784
Position Surface form Disambiguated ID Type / Status
Subject Terence McKenna E432829 entity
Predicate placeOfBirth P1 FINISHED
Object Paonia, Colorado 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: Paonia, Colorado | Statement: [Terence McKenna, placeOfBirth, Paonia, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paonia, Colorado
Context triple: [Terence McKenna, placeOfBirth, Paonia, Colorado]
  • A. Paonia, Colorado chosen
    Paonia, Colorado is a small town in western Colorado known for its orchards, vineyards, and arts-oriented community in the North Fork Valley.
  • B. Paoli, Colorado
    Paoli, Colorado is a small rural town located in northeastern Colorado within Phillips County.
  • C. Peyton, Colorado
    Peyton, Colorado is a small unincorporated community in El Paso County that serves as a rural residential area northeast of Colorado Springs.
  • D. Pritchett, Colorado
    Pritchett, Colorado is a small rural town in southeastern Colorado known for its agricultural surroundings and close-knit community.
  • E. San Pedro, Colorado
    San Pedro, Colorado is a small unincorporated community located in rural Costilla County in southern Colorado.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.