Triple
T18567882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pallacanestro Treviso |
E453801
|
entity |
| Predicate | playsFiveOnFiveBasketball |
P75341
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pallacanestro Treviso, playsFiveOnFiveBasketball, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsFiveOnFiveBasketball Context triple: [Pallacanestro Treviso, playsFiveOnFiveBasketball, true]
-
A.
playsCollegeBasketballIn
Indicates that an individual is a member of and competes for a college or university’s basketball team located at a specified institution or place.
-
B.
playedBasketballFor
Indicates that one entity was a member of and competed for another entity’s basketball team.
-
C.
plays5On5
chosen
Indicates that the subject participates in a five-on-five game or match involving two teams of five players each.
-
D.
hasBasketballLevel
Indicates that an entity possesses a specified level of skill, proficiency, or ranking in basketball.
-
E.
usesBasketball
Indicates that one entity makes use of or engages with basketball, typically as equipment or in the context of playing the sport.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53affc3e08190b4d16b5ccb0bddbc |
completed | April 19, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69e478c16e0c8190b03966aa23c395a6 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.