Triple

T15345587
Position Surface form Disambiguated ID Type / Status
Subject WAFF U-18 Championship E366906 entity
Predicate confederation P3193 FINISHED
Object WAFF E74361 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: WAFF | Statement: [WAFF U-18 Championship, confederation, WAFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAFF
Context triple: [WAFF U-18 Championship, confederation, WAFF]
  • A. WAFF chosen
    WAFF is the West Asian Football Federation, the regional governing body for football in West Asia under the Asian Football Confederation.
  • B. WSAW-TV
    WSAW-TV is a local television station serving the Wausau, Wisconsin area, providing news, weather, and entertainment programming to regional viewers.
  • C. WCCB
    WCCB is India’s specialized government agency responsible for combating wildlife-related crimes and enforcing laws to protect endangered species and their habitats.
  • D. WFYR
    WFYR is a radio station that was formerly part of the broadcasting portfolio of media company RKO General.
  • E. WABI-TV
    WABI-TV is a long-running CBS-affiliated television station serving the Bangor, Maine market with local news, weather, and entertainment programming.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e1749bc8190a8b9cbcb27288a5b completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:17 a.m.