Triple
T29378396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria vs Argentina (2018 FIFA World Cup Group D) |
E745065
|
entity |
| Predicate | NigeriaPenaltyAwardedBy |
P166695
|
FINISHED |
| Object | Cüneyt Çakır |
—
|
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: Cüneyt Çakır | Statement: [Nigeria vs Argentina (2018 FIFA World Cup Group D), NigeriaPenaltyAwardedBy, Cüneyt Çakır]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NigeriaPenaltyAwardedBy Context triple: [Nigeria vs Argentina (2018 FIFA World Cup Group D), NigeriaPenaltyAwardedBy, Cüneyt Çakır]
-
A.
NigeriaGoals
Indicates a relationship where certain goals, objectives, or targets are specifically associated with or set for Nigeria.
-
B.
penaltyScoredBy
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
-
C.
penaltyGoalPoints
Indicates that points are awarded for a goal scored from a penalty situation.
-
D.
penaltyMinute
Indicates that a player is assessed a specific number of penalty minutes, typically for an infraction in a timed sporting event.
-
E.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669afbf3081909d3618d25f39a4ae |
completed | May 2, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 28, 2026, 2:33 p.m.