Triple
T18122705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JL Bourg Basket |
E433781
|
entity |
| Predicate | playsHomeGamesAt |
P890
|
FINISHED |
| Object | Ekinox |
—
|
NE NERFINISHED |
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: Ekinox | Statement: [JL Bourg Basket, playsHomeGamesAt, Ekinox]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ekinox Context triple: [JL Bourg Basket, playsHomeGamesAt, Ekinox]
-
A.
Ekinox
chosen
Ekinox is a modern indoor sports arena in Bourg-en-Bresse, France, primarily used for hosting professional basketball games and other large events.
-
B.
Ourique
Ourique is a rural municipality in Portugal’s Alentejo region, known for its historical links to the legendary Battle of Ourique and its traditional agricultural landscape.
-
C.
Zima
Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
-
D.
Zima
Zima is a small Siberian town in Russia known as the birthplace of poet Yevgeny Yevtushenko.
-
E.
Frostiana
Frostiana is a choral song cycle by American composer Randall Thompson, setting poems by Robert Frost to music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddeb2d7881909326cb9d2f5e2fb5 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.