Triple

T19918715
Position Surface form Disambiguated ID Type / Status
Subject Children’s Zoo E478732 entity
Predicate partOf P40 FINISHED
Object Houston Zoo 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: Houston Zoo | Statement: [Children’s Zoo, partOf, Houston Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houston Zoo
Context triple: [Children’s Zoo, partOf, Houston Zoo]
  • A. Houston Zoo chosen
    Houston Zoo is a major zoological park in Houston, Texas, known for its extensive animal exhibits, conservation programs, and family-oriented educational experiences.
  • B. Texas Zoo
    The Texas Zoo is a regional zoological park in Victoria, Texas, featuring native and exotic animal species and educational exhibits for visitors.
  • C. Dallas Zoo
    Dallas Zoo is a major zoological park in Dallas, Texas, known for its extensive animal exhibits and conservation and education programs.
  • D. San Antonio Zoo
    The San Antonio Zoo is a major zoological park in San Antonio, Texas, known for its diverse animal collection, conservation programs, and family-friendly exhibits.
  • E. Hermann Park Zoo
    Hermann Park Zoo, now known as the Houston Zoo, is a major zoological park in Houston, Texas, featuring a wide variety of animal exhibits and conservation programs.
  • 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659c3d990819089386d9f30323e8c completed April 20, 2026, 4:52 p.m.
Created at: April 10, 2026, 1:53 p.m.