Triple
T29290105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain vs Morocco (2018 FIFA World Cup Group B) |
E742636
|
entity |
| Predicate | secondSpainGoalMethod |
P193540
|
FINISHED |
| Object | back-heel finish |
—
|
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: back-heel finish | Statement: [Spain vs Morocco (2018 FIFA World Cup Group B), secondSpainGoalMethod, back-heel finish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSpainGoalMethod Context triple: [Spain vs Morocco (2018 FIFA World Cup Group B), secondSpainGoalMethod, back-heel finish]
-
A.
secondSpainGoalScoredBy
Indicates the relationship where a specific entity is the player who scored the second goal for Spain in a given match or event.
-
B.
SpainGoals
Indicates the number of goals scored by Spain in a given match or competition context.
-
C.
equalisingGoalScorerForSpain
Indicates that the referenced entity is the player who scored the goal that brought Spain’s score level with their opponent.
-
D.
spainCameFromBehind
Indicates that Spain was initially trailing but later overcame the deficit to take the lead or win.
-
E.
strategicObjectiveSpain
Indicates that an entity has a strategic objective specifically related to Spain.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69fd49f612a4819096fe7d5a3bb439ba |
completed | May 8, 2026, 2:27 a.m. |
Created at: April 28, 2026, 1:01 p.m.