Triple

T7160302
Position Surface form Disambiguated ID Type / Status
Subject David J. Wineland E166924 entity
Predicate workLocation P7 FINISHED
Object Boulder, Colorado E53190 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: Boulder, Colorado | Statement: [David J. Wineland, workLocation, Boulder, Colorado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boulder, Colorado
Context triple: [David J. Wineland, workLocation, Boulder, Colorado]
  • A. Boulder, Colorado chosen
    Boulder, Colorado is a city at the foothills of the Rocky Mountains known for its research institutions, outdoor recreation, and vibrant university community.
  • B. Boulder
    Boulder is a town in Western Australia that now forms part of the city of Kalgoorlie-Boulder, historically known for its role in the Eastern Goldfields mining region.
  • C. Denver, Colorado
    Denver, Colorado is the capital and largest city of the U.S. state of Colorado, known for its mile-high elevation, proximity to the Rocky Mountains, and vibrant cultural and sports scene.
  • D. Aurora, Colorado
    Aurora, Colorado is a major suburb of Denver known for its diverse population, extensive parks and open spaces, and significant military presence.
  • E. Denver
    Denver is a fictional member of the gang in the Spanish television series "Money Heist," known for his distinctive laugh and emotional, impulsive nature.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e82ce770819081dccf7ffd50c2ab completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8569fbf4081909897b0e5456cd66a completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 2:47 p.m.