Triple
T29290097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spain vs Morocco (2018 FIFA World Cup Group B) |
E742636
|
entity |
| Predicate | firstGoalScoredBy |
P162959
|
FINISHED |
| Object | Khalid Boutaïb |
—
|
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: Khalid Boutaïb | Statement: [Spain vs Morocco (2018 FIFA World Cup Group B), firstGoalScoredBy, Khalid Boutaïb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstGoalScoredBy Context triple: [Spain vs Morocco (2018 FIFA World Cup Group B), firstGoalScoredBy, Khalid Boutaïb]
-
A.
goalScorerIn
chosen
Indicates that an entity is the player who scored a goal in a particular match or event.
-
B.
firstWinningGoalDescription
Indicates the descriptive text explaining the goal that first secured a win for a team or player in a given match or competition.
-
C.
secondGoalScoredBy
Indicates that the second goal in a match or sequence of goals was scored by a specified entity.
-
D.
openingGoalScorerInFinal
Indicates the player who scored the first goal in the final match of a competition.
-
E.
opponentGoalScorer
Indicates that an entity is the one who scored a goal for the opposing team against another entity.
- 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_6a00b479c1588190af6e0698b7f8d7f7 |
completed | May 10, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_6a00b4158260819087d0cfad8b18cef4 |
completed | May 10, 2026, 4:36 p.m. |
Created at: April 28, 2026, 1:01 p.m.