Triple

T14206842
Position Surface form Disambiguated ID Type / Status
Subject Denver Zoo E352116 entity
Predicate name P16 FINISHED
Object Denver Zoo E352116 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: Denver Zoo | Statement: [Denver Zoo, name, Denver Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denver Zoo
Context triple: [Denver Zoo, name, Denver Zoo]
  • A. Denver Zoo chosen
    Denver Zoo is a major zoological park in Denver, Colorado, known for its diverse animal exhibits, conservation efforts, and family-friendly attractions.
  • B. Phoenix Zoo
    Phoenix Zoo is a major privately owned, non-profit zoological park in Phoenix, Arizona, known for its extensive animal exhibits, conservation programs, and family-oriented attractions.
  • C. Detroit Zoo
    The Detroit Zoo is a major zoological park in the Detroit metropolitan area known for its extensive animal exhibits and pioneering naturalistic habitats.
  • D. Cheyenne Mountain Zoo
    Cheyenne Mountain Zoo is a mountainside zoological park in Colorado Springs known for its scenic setting, conservation efforts, and large giraffe herd.
  • E. Audubon Zoo
    Audubon Zoo is a major zoological park in New Orleans known for its diverse animal exhibits, conservation efforts, and family-friendly attractions.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd195301e88190a5ef034253275fb0 completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.