Triple
T27543268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1954 FIFA World Cup qualification cycle |
E695293
|
entity |
| Predicate | numberOfFinalistsFromQualification |
P38102
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [1954 FIFA World Cup qualification cycle, numberOfFinalistsFromQualification, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFinalistsFromQualification Context triple: [1954 FIFA World Cup qualification cycle, numberOfFinalistsFromQualification, 14]
-
A.
hasNumberOfFinalists
chosen
Indicates the relationship between an entity and the count of finalists associated with it.
-
B.
numberOfParticipatingTeamsInQualifying
Indicates the total number of teams that take part in the qualifying stage of a competition or event.
-
C.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
D.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
E.
semiFinalQualification
Indicates that an entity has achieved the necessary result or status to advance to the semi-final stage of a competition or selection process.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fee25dbca481909e6f1c255122b3a8 |
completed | May 9, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69fee1c8915c8190b08b63e42881f1a9 |
completed | May 9, 2026, 7:27 a.m. |
Created at: April 27, 2026, 1:32 p.m.