Triple
T28281358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Warburton |
E713155
|
entity |
| Predicate | playedForAgeLevelTeam |
P8948
|
FINISHED |
| Object | Wales under-18 rugby union team |
—
|
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: Wales under-18 rugby union team | Statement: [Sam Warburton, playedForAgeLevelTeam, Wales under-18 rugby union team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForAgeLevelTeam Context triple: [Sam Warburton, playedForAgeLevelTeam, Wales under-18 rugby union team]
-
A.
playedForJuniorTeam
chosen
Indicates that an individual was a member of and played for a specific junior-level sports team.
-
B.
hasYouthTeam
Indicates that an entity has an associated youth team that serves as its junior or developmental squad.
-
C.
hasAdultTeams
Indicates that the subject is associated with one or more teams composed of adult participants.
-
D.
playsForSchoolType
Indicates that an individual plays for, or is a member of, a team representing a particular type or category of school (e.g., high school, college, university).
-
E.
sportsTeamLevel
Indicates the competitive tier or division in which a sports team participates within an organized league or system.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 11:23 p.m.