Triple

T17928005
Position Surface form Disambiguated ID Type / Status
Subject Tennoji-ku E448247 entity
Predicate hasZoo P3480 FINISHED
Object Tennoji 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: Tennoji Zoo | Statement: [Tennoji-ku, hasZoo, Tennoji Zoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tennoji Zoo
Context triple: [Tennoji-ku, hasZoo, Tennoji Zoo]
  • A. Tennoji Zoo chosen
    Tennoji Zoo is a historic zoological park in Osaka, Japan, known for its diverse animal exhibits and location within the popular Tennoji district.
  • B. Nogeyama Zoo
    Nogeyama Zoo is a free-admission municipal zoological park in Yokohama, Japan, known for its compact size and family-friendly animal exhibits.
  • C. Maruyama Zoo
    Maruyama Zoo is a popular zoological park in Sapporo, Japan, known for its diverse collection of animals and family-friendly exhibits set within the scenic Maruyama Park area.
  • D. Inokashira Park Zoo
    Inokashira Park Zoo is a small, family-friendly zoo in Tokyo known for its collection of native Japanese animals, petting areas, and scenic setting within Inokashira Park.
  • E. Asahiyama Zoo
    Asahiyama Zoo is a popular zoological park in Asahikawa, Hokkaido, Japan, renowned for its innovative, close-up animal exhibits that showcase natural behaviors.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a5505af88190aa7a5cfee0baa3a4 completed April 19, 2026, 9:50 a.m.
Created at: April 10, 2026, 10:20 a.m.