Triple
T30114301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1974 FIFA World Cup qualification |
E765370
|
entity |
| Predicate | numberOfQualifiedTeams |
P96366
|
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: [1974 FIFA World Cup qualification, numberOfQualifiedTeams, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfQualifiedTeams Context triple: [1974 FIFA World Cup qualification, numberOfQualifiedTeams, 14]
-
A.
qualifiedTeamsCount
chosen
Indicates the number of teams that have successfully met the criteria to qualify for a given stage, event, or competition.
-
B.
numberOfParticipatingTeamsInQualifying
Indicates the total number of teams that take part in the qualifying stage of a competition or event.
-
C.
totalTeamsQualifyingFromGroup
Indicates the number of teams that advance from a particular group to the next stage of a competition.
-
D.
numberOfQualifiedTeamsFromAsiaOceania
Indicates the count of teams from the Asia-Oceania region that meet the specified qualification criteria.
-
E.
qualifiesTeamsTo
Indicates that one entity provides the necessary conditions or credentials for another entity (typically a person or organization) to be eligible to join or participate in specific teams.
- 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_69f22475ad7c8190be7f9541044a0bbb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
Created at: April 29, 2026, 7:11 p.m.