Triple
T33221591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucentum Alicante |
E850434
|
entity |
| Predicate | isInSportsDiscipline |
P15165
|
FINISHED |
| Object | basketball |
—
|
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: basketball | Statement: [Lucentum Alicante, isInSportsDiscipline, basketball]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInSportsDiscipline Context triple: [Lucentum Alicante, isInSportsDiscipline, basketball]
-
A.
isInSportSystemOf
Indicates that one entity belongs to, is organized within, or operates under the structure of a particular sport system or sports organizational framework of another entity.
-
B.
hasOlympicDiscipline
Indicates that an entity (typically a sport) includes or is associated with a specific discipline as recognized in the Olympic Games.
-
C.
includesSport
chosen
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
D.
hasRacingDiscipline
Indicates that an entity participates in, is associated with, or is characterized by a specific type or category of racing discipline.
-
E.
hasRelativeInSport
Indicates that one entity has a family member who participates or is involved in a sport-related activity or profession.
- 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_69f3496083dc8190b229bb6932dc548b |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:30 a.m.