Triple
T29290008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portugal vs Spain (2018 FIFA World Cup Group B) |
E742634
|
entity |
| Predicate | lateEqualiserScorer |
P99876
|
FINISHED |
| Object | Cristiano Ronaldo |
—
|
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: Cristiano Ronaldo | Statement: [Portugal vs Spain (2018 FIFA World Cup Group B), lateEqualiserScorer, Cristiano Ronaldo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lateEqualiserScorer Context triple: [Portugal vs Spain (2018 FIFA World Cup Group B), lateEqualiserScorer, Cristiano Ronaldo]
-
A.
finalEqualiserScorer
chosen
Indicates that the subject is the player who scored the final goal that brought the scores level in a match.
-
B.
laterScoring
Indicates that one event, action, or outcome occurs or is recorded at a later time than another in terms of scoring or point assignment.
-
C.
scoringTerm
Indicates that one entity is a term or expression used to assign, represent, or influence a score or rating in relation to another entity.
-
D.
usesCompositeScore
Indicates that an entity bases its evaluation, decision, or outcome on a combined score derived from multiple underlying metrics or factors.
-
E.
alternativeScoring
Indicates that there exists an additional or non-standard method of scoring or evaluation associated with the primary scoring system or context.
- 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_69f6653e73e081908ea14f73f88d5648 |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 1:01 p.m.