Triple

T9971143
Position Surface form Disambiguated ID Type / Status
Subject Avispa Fukuoka E196205 entity
Predicate nickname P55 FINISHED
Object Avispa E831852 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: Avispa | Statement: [Avispa Fukuoka, nickname, Avispa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avispa
Context triple: [Avispa Fukuoka, nickname, Avispa]
  • A. Avispa chosen
    Avispa is a Japanese professional football club based in Fukuoka that competes in the J1 League.
  • B. Wasp
    "Wasp" is a 1957 science fiction novel by Eric Frank Russell, best known for its satirical portrayal of psychological warfare and guerrilla tactics used by a single operative to destabilize an alien empire.
  • C. Avispas
    Avispas is the popular nickname of the professional baseball team from Santiago de Cuba in the Cuban National Series.
  • D. Bee
    Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
  • E. Buhid
    Buhid is a Brahmic-derived indigenous script used by the Buhid people of Mindoro in the Philippines to write the Buhid language.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b96b1c8190b9d3c1171346615a completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c9f6cc81908256dc1e8d6c3fea completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.