Triple
T29290104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain vs Morocco (2018 FIFA World Cup Group B) |
E742636
|
entity |
| Predicate | secondSpainGoalScoredBy |
P193474
|
FINISHED |
| Object | Iago Aspas |
—
|
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: Iago Aspas | Statement: [Spain vs Morocco (2018 FIFA World Cup Group B), secondSpainGoalScoredBy, Iago Aspas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondSpainGoalScoredBy Context triple: [Spain vs Morocco (2018 FIFA World Cup Group B), secondSpainGoalScoredBy, Iago Aspas]
-
A.
equalisingGoalScorerForSpain
Indicates that the referenced entity is the player who scored the goal that brought Spain’s score level with their opponent.
-
B.
spainCameFromBehind
Indicates that Spain was initially trailing but later overcame the deficit to take the lead or win.
-
C.
SpainGoals
Indicates the number of goals scored by Spain in a given match or competition context.
-
D.
secondMoroccoGoalScoredBy
Indicates the player who scored Morocco’s second goal in a given match.
-
E.
wonSupercopaDeEspaña
Indicates that one entity achieved victory in the Supercopa de España football competition.
- 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_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: April 28, 2026, 1:01 p.m.