Triple

T20873400
Position Surface form Disambiguated ID Type / Status
Subject Eurasia Wilds E513951 entity
Predicate theme P261 FINISHED
Object Eurasian wildlife 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: Eurasian wildlife | Statement: [Eurasia Wilds, theme, Eurasian wildlife]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eurasian wildlife
Context triple: [Eurasia Wilds, theme, Eurasian wildlife]
  • A. Eurasia Wilds chosen
    Eurasia Wilds is a themed exhibit area at the Toronto Zoo featuring animals and habitats from across the Eurasian continent.
  • B. Wildlife
    "Wildlife" is a 2018 American drama film, directed by Paul Dano in his feature directorial debut, that portrays a family's breakdown in 1960s Montana through the eyes of a teenage boy.
  • C. Fauna Japonica
    Fauna Japonica is a landmark 19th-century zoological work that systematically documented and illustrated the animal species of Japan for a European scientific audience.
  • D. Fauna
    Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
  • E. Fauna
    Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c46639308190a616193f3975d453 completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:45 p.m.