Triple
T29378398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigeria vs Argentina (2018 FIFA World Cup Group D) |
E745065
|
entity |
| Predicate | NigeriaPenaltyConvertedBy |
P91903
|
FINISHED |
| Object | Victor Moses |
—
|
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: Victor Moses | Statement: [Nigeria vs Argentina (2018 FIFA World Cup Group D), NigeriaPenaltyConvertedBy, Victor Moses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NigeriaPenaltyConvertedBy Context triple: [Nigeria vs Argentina (2018 FIFA World Cup Group D), NigeriaPenaltyConvertedBy, Victor Moses]
-
A.
NigeriaPenaltyAwardedBy
Indicates that a penalty in a Nigerian football match was awarded by a specific referee or officiating authority.
-
B.
NigeriaGoals
Indicates a relationship where certain goals, objectives, or targets are specifically associated with or set for Nigeria.
-
C.
NigeriaPenaltyReason
Indicates the reason or cause for which a penalty is imposed in the context of Nigeria.
-
D.
penaltyShootoutWinner
Indicates that one competitor or team is the winner of a match decided by a penalty shootout.
-
E.
penaltyScoredBy
chosen
Indicates that a penalty (typically in a game or sport) was successfully converted or scored by a particular participant.
- 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_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_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 2:33 p.m.