Triple
T12938388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LNB Pro A |
E309573
|
entity |
| Predicate | relatedCompetition |
P2357
|
FINISHED |
| Object | LNB Pro B |
E976472
|
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: LNB Pro B | Statement: [LNB Pro A, relatedCompetition, LNB Pro B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LNB Pro B Context triple: [LNB Pro A, relatedCompetition, LNB Pro B]
-
A.
LNB Pro B
chosen
LNB Pro B is the second-tier professional men's basketball league in France, sitting just below the top-level LNB Pro A.
-
B.
LNB Pro A
LNB Pro A is the top-tier professional men's basketball league in France.
-
C.
B3 League
The B3 League is a professional Japanese basketball league that functions as the third tier beneath the top-level B.League divisions.
-
D.
B2 League
The B2 League is the second-tier professional basketball league in Japan, sitting just below the top-level B.League.
-
E.
Baltic Basketball League
The Baltic Basketball League was a regional professional basketball competition featuring top clubs from Baltic countries such as Lithuania, Latvia, and Estonia.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97dc8c0848190946e109ec98e4479 |
completed | April 10, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d788b88190b161a41f85594fb8 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:43 p.m.