Triple
T14837294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Basketball Federation |
E348864
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TBF |
E1121759
|
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: TBF | Statement: [Turkish Basketball Federation, shortName, TBF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBF Context triple: [Turkish Basketball Federation, shortName, TBF]
-
A.
TBF
TBF is the IATA airport code for Tabiteuea Airport, which serves the island of Tabiteuea in Kiribati.
-
B.
TBF
chosen
TBF is the Turkish Basketball Federation, the national governing body responsible for organizing and overseeing basketball activities and competitions in Turkey.
-
C.
Bomber
"Bomber" is a World War II novel by Len Deighton that offers a detailed, hour-by-hour account of a single RAF bombing raid over Germany.
-
D.
Bomber
Bomber is the nickname and mascot representing the athletic teams of Ithaca College.
-
E.
Dive Bomber
Dive Bomber is a 1941 American aviation drama film starring Errol Flynn and Fred MacMurray that focuses on U.S. Navy flight surgeons’ efforts to solve the problem of high-altitude pilot blackouts.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64fc8cdc8190a142a2a3ef889e72 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:52 a.m.