Triple
T15850718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022–23 B.League season |
E384328
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | B2 League |
E384317
|
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: B2 League | Statement: [2022–23 B.League season, hasDivision, B2 League]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: B2 League Context triple: [2022–23 B.League season, hasDivision, B2 League]
-
A.
B2 League
chosen
The B2 League is the second-tier professional basketball league in Japan, sitting just below the top-level B.League.
-
B.
B3 League
The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
-
C.
B.League
B.League is Japan’s professional men’s basketball league, featuring top-tier teams from across the country.
-
D.
LNB Pro B
LNB Pro B is the second-tier professional men's basketball league in France, sitting just below the top-level LNB Pro A.
-
E.
British Basketball League
The British Basketball League is the top-tier professional men's basketball league in the United Kingdom.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cab0fe48190bd6629e071761e91 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb59bc1f881908c5ed93039e94a46 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:50 a.m.