Triple
T29290223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iceland vs Croatia (2018 FIFA World Cup Group D) |
E742639
|
entity |
| Predicate | winningGoalTeam |
P2624
|
FINISHED |
| Object | Croatia national football team |
—
|
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: Croatia national football team | Statement: [Iceland vs Croatia (2018 FIFA World Cup Group D), winningGoalTeam, Croatia national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningGoalTeam Context triple: [Iceland vs Croatia (2018 FIFA World Cup Group D), winningGoalTeam, Croatia national football team]
-
A.
goalScorerTeam
Indicates that a team is the one for which a particular goal scorer scored a goal.
-
B.
winningTeam
chosen
Indicates which team is the victor in a given competition, game, or contest.
-
C.
ownGoalBeneficiaryTeam
Indicates the team that gains the scoring benefit when an own goal is committed against it.
-
D.
coachOfScoringTeam
Indicates that one entity is the coach of the team that scored in a particular play or event.
-
E.
equalisingGoalTeam
Indicates that a team scores a goal which brings the score level with the opposing team.
- 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_69f6653fd31c8190af982a019dfe645e |
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.