Triple

T18924839
Position Surface form Disambiguated ID Type / Status
Subject Manual of Diagnostic Tests for Aquatic Animals E462947 entity
Predicate publishedBy P80 FINISHED
Object WOAH 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: WOAH | Statement: [Manual of Diagnostic Tests for Aquatic Animals, publishedBy, WOAH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WOAH
Context triple: [Manual of Diagnostic Tests for Aquatic Animals, publishedBy, WOAH]
  • A. WOAH chosen
    WOAH is the acronym for the World Organisation for Animal Health, an intergovernmental body that sets international standards for animal health and welfare.
  • B. Woah
    "Woah" is a popular hip-hop single by American rapper Lil Baby known for its catchy hook and viral dance.
  • C. Wah
    Wah is a city in Pakistan’s Punjab province, known for its industrial significance and proximity to major military and educational institutions.
  • D. WOW
    "WOW" is a song by Marilyn Manson from his 2009 industrial rock album *The High End of Low*.
  • E. WOA
    WOA is the acronym for the World Olympians Association, the global organization representing and supporting athletes who have competed in the Olympic Games.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9b77c188190b2274ef45d538508 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.