Triple

T8873257
Position Surface form Disambiguated ID Type / Status
Subject Michigan E211209 entity
Predicate hasOfficialGameAnimal P35365 FINISHED
Object White-tailed deer LITERAL 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: White-tailed deer | Statement: [Michigan, hasOfficialGameAnimal, White-tailed deer]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialGameAnimal
Context triple: [Michigan, hasOfficialGameAnimal, White-tailed deer]
  • A. isGameSpecies chosen
    Indicates that an animal species is legally designated and managed as a target for hunting or harvesting.
  • B. hasOfficialStateAnimal
    Indicates that a political entity has a formally designated animal recognized as its official state symbol.
  • C. hasAnimal
    Indicates that one entity possesses, keeps, or is associated with an animal.
  • D. animalProtagonist
    Indicates that the main character or central figure in a narrative is an animal.
  • E. hasOfficialCharacter
    Indicates that something possesses an authorized, formal, or legally recognized status or role within an official context.
  • F. None of above.

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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc612952348190856d6964122c3f01 completed April 1, 2026, 12:04 a.m.
PD Predicate disambiguation batch_69cc5c2956788190a311c647b4da17a6 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:52 p.m.