Triple
T29906499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan vs Greece (2014 FIFA World Cup) |
E759549
|
entity |
| Predicate | redCardTo |
P168239
|
FINISHED |
| Object | Greek player |
—
|
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: Greek player | Statement: [Japan vs Greece (2014 FIFA World Cup), redCardTo, Greek player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redCardTo Context triple: [Japan vs Greece (2014 FIFA World Cup), redCardTo, Greek player]
-
A.
redCardInWorldCupFinal
Indicates that a player was shown a red card during a World Cup final match.
-
B.
hasGivenRedCardsTo
Indicates that one entity has issued or awarded red cards to another entity, typically in a disciplinary or officiating context.
-
C.
numberOfRedCards
Indicates the count of red cards associated with a given entity or event.
-
D.
redDiscRepresents
Indicates that a red disc symbol is used to stand for, denote, or signify a particular entity, concept, or value.
-
E.
cardColor
Indicates the color attribute assigned to a card in the relationship.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67756337881908627f7068dc02d9f |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:08 p.m.