Triple
T29290050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran vs Portugal (2018 FIFA World Cup Group B) |
E742635
|
entity |
| Predicate | CristianoRonaldoMissedPenalty |
P166942
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Iran vs Portugal (2018 FIFA World Cup Group B), CristianoRonaldoMissedPenalty, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CristianoRonaldoMissedPenalty Context triple: [Iran vs Portugal (2018 FIFA World Cup Group B), CristianoRonaldoMissedPenalty, yes]
-
A.
penaltyShootoutMiss
Indicates that in a penalty shootout, the designated player failed to score on their penalty attempt.
-
B.
MessiPenaltyGoal
Indicates that Lionel Messi successfully scores a goal from a penalty kick.
-
C.
penaltyMissByChelsea
Indicates that a penalty kick was missed by a player or the team Chelsea.
-
D.
penaltyMissInExtraTimeBy
Indicates that a penalty kick was missed during extra time by a specified entity.
-
E.
penaltyShootoutLoser
Indicates the team or player that loses a match as a result of a penalty shootout.
- 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_69f6653fd31c8190af982a019dfe645e |
completed | May 2, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 1:01 p.m.