Triple
T7167939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dwight Yorke |
E167117
|
entity |
| Predicate | roleAt2006WorldCup |
P75251
|
FINISHED |
| Object | captain of Trinidad and Tobago national team |
—
|
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: captain of Trinidad and Tobago national team | Statement: [Dwight Yorke, roleAt2006WorldCup, captain of Trinidad and Tobago national team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAt2006WorldCup Context triple: [Dwight Yorke, roleAt2006WorldCup, captain of Trinidad and Tobago national team]
-
A.
representsInWorldCup
Indicates that an entity (such as a player or team) participates as a representative of a country or organization in a FIFA World Cup tournament.
-
B.
positionIn1990WorldCup
Indicates the finishing place or rank an entity achieved in the 1990 FIFA World Cup tournament.
-
C.
FIFAWorldCupParticipation
Indicates that an entity has taken part in at least one edition of the FIFA World Cup tournament.
-
D.
roleInCONCACAF
Indicates that one entity holds a specific role, position, or function within the CONCACAF organization or its activities.
-
E.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
- F. None of above. chosen
Provenance (4 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_69c68888c10c819095e0383020225758 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e85b4410819098c6531229da51d4 |
completed | March 27, 2026, 8:28 p.m. |
| PD | Predicate disambiguation | batch_69c6e1cd5c948190a9113b23f7308c21 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:48 p.m.