Triple

T5245359
Position Surface form Disambiguated ID Type / Status
Subject Detroit Zoo E118444 entity
Predicate hasExhibit P35 FINISHED
Object Asian Forest E502981 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: Asian Forest | Statement: [Detroit Zoo, hasExhibit, Asian Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asian Forest
Context triple: [Detroit Zoo, hasExhibit, Asian Forest]
  • A. Asian Forest Sanctuary chosen
    Asian Forest Sanctuary is a themed zoo exhibit that recreates Asian forest habitats to showcase and conserve species such as tigers, elephants, and other wildlife from the region.
  • B. Japan Forest
    Japan Forest is a themed exhibit area at Osaka’s Aquarium Kaiyukan that recreates a lush Japanese woodland ecosystem with native plants and animals.
  • C. Southeast Asian rainforests
    Southeast Asian rainforests are vast, biodiverse tropical forests known for their rich ecosystems, high rainfall, and critical role in global climate regulation.
  • D. Karura Forest
    Karura Forest is a protected urban forest in Nairobi, Kenya, known for its walking trails, waterfalls, caves, and rich biodiversity.
  • E. Ussuri broadleaf and mixed forests
    The Ussuri broadleaf and mixed forests are a temperate ecoregion of rich, biodiverse woodlands in the Russian Far East and northeastern China, characterized by a mix of coniferous and broadleaf tree species and abundant wildlife.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b515edc8190a9db198d4eb1c4f6 completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef832ae8481908a90faf66c1db631 completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.