Triple
T29290127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia vs Nigeria (2018 FIFA World Cup Group D) |
E742637
|
entity |
| Predicate | goalsScoredByNigeria |
P9098
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Croatia vs Nigeria (2018 FIFA World Cup Group D), goalsScoredByNigeria, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalsScoredByNigeria Context triple: [Croatia vs Nigeria (2018 FIFA World Cup Group D), goalsScoredByNigeria, 0]
-
A.
NigeriaGoals
Indicates a relationship where certain goals, objectives, or targets are specifically associated with or set for Nigeria.
-
B.
NigeriaPenaltyAwardedBy
Indicates that a penalty in a Nigerian football match was awarded by a specific referee or officiating authority.
-
C.
NigeriaGroupPositionAfterMatch
Indicates the group standing or rank of Nigeria in a competition immediately following a specific match.
-
D.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
-
E.
worldCupGoals
Indicates the number of goals an entity scored in World Cup matches.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 1:01 p.m.