Triple
T15304681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WAFF U-23 Championship |
E365868
|
entity |
| Predicate | organisedBy |
P123
|
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-23 Championship, organisedBy, WAFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAFF Context triple: [WAFF U-23 Championship, organisedBy, 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ccef14c819099c5ebe962e7f867 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef89d961481909be8dcc2864982c9 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.