Triple
T35044522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Match des Champions |
E1011159
|
entity |
| Predicate | openingEventOf |
P45486
|
FINISHED |
| Object | French professional basketball season |
—
|
LITERAL 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: French professional basketball season | Statement: [Match des Champions, openingEventOf, French professional basketball season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingEventOf Context triple: [Match des Champions, openingEventOf, French professional basketball season]
-
A.
openingWorkOf
Indicates that one work serves as the first or introductory piece in relation to another work, such as the opening item in a sequence or collection.
-
B.
openingTo
Indicates that one entity serves as an entrance, access point, or passage leading into or toward another entity.
-
C.
openedForEvent
Indicates that a venue or location is made accessible and operational specifically for a particular event.
-
D.
openingPerformance
chosen
Indicates the performance or event that serves as the first or inaugural showing in a series, season, or run.
-
E.
openingRace
Indicates that one race serves as the initial or first event in a sequence of races or a racing competition.
- F. None of above.
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_69f76dcfdda48190b1ebae5da8b54f12 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:01 p.m.