Triple
T30025971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 FIFA World Cup qualification |
E762880
|
entity |
| Predicate | totalNumberOfMatches |
P128970
|
FINISHED |
| Object | 498 |
—
|
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: 498 | Statement: [1994 FIFA World Cup qualification, totalNumberOfMatches, 498]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalNumberOfMatches Context triple: [1994 FIFA World Cup qualification, totalNumberOfMatches, 498]
-
A.
totalMatchesPlayed
chosen
Indicates the total number of matches that have been played by the referenced entity or between the related entities.
-
B.
numberOfTestMatches
Indicates the total count of test matches associated with a given entity (such as a player, team, or series) in the relationship.
-
C.
numberOfFinalMatches
Indicates the total count of final-stage matches associated with a given entity or event.
-
D.
numberOfMatchesForAllBlacks
Indicates the total count of matches or occurrences involving all black entities in the given context.
-
E.
typicalNumberOfMatchesPerSeries
Indicates the usual or standard count of matches that are played within a single series.
- 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_69f2246ee6e48190b69e837b913b398a |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 29, 2026, 6:48 p.m.