Triple

T15957281
Position Surface form Disambiguated ID Type / Status
Subject UAFA E386967 entity
Predicate competitionOrganized P38960 FINISHED
Object Arab Women’s Cup E1155616 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: Arab Women’s Cup | Statement: [UAFA, competitionOrganized, Arab Women’s Cup]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arab Women’s Cup
Context triple: [UAFA, competitionOrganized, Arab Women’s Cup]
  • A. Arab Women’s Cup chosen
    The Arab Women’s Cup is a regional women’s football tournament featuring national teams from Arab countries.
  • B. Gulf Cup of Nations
    The Gulf Cup of Nations is a regional football tournament contested by national teams from the Arabian Gulf region.
  • C. Iraq Women's League
    The Iraq Women's League is the top-tier women's football league in Iraq, featuring clubs from across the country competing in organized national competition.
  • D. Arab Cup
    The Arab Cup is an international football tournament organized for national teams from the Arab world.
  • E. Arabian Gulf Cup
    The Arabian Gulf Cup is a professional football league cup competition in the United Arab Emirates, contested by clubs from the UAE Pro League.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fc6f348190b49c4858281a0904 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe7e76d481909e6f1d1ea33edd60 completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.