Triple
T29977598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1966 FIFA World Cup qualification |
E761493
|
entity |
| Predicate | allocatedPlacesToCAF |
P169339
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1966 FIFA World Cup qualification, allocatedPlacesToCAF, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatedPlacesToCAF Context triple: [1966 FIFA World Cup qualification, allocatedPlacesToCAF, 1]
-
A.
allocatedPlacesToUEFA
Indicates that a certain number of competition places or slots have been assigned or granted to UEFA.
-
B.
allocatedPlacesToCONCACAF
Indicates that a certain number of qualification or competition spots have been assigned to the CONCACAF confederation.
-
C.
allocatedCitiesIn
Indicates that certain cities have been assigned or designated to a particular entity, region, or category within a specified context.
-
D.
cadresAllocatedBy
Indicates that specific personnel or staff positions (cadres) are assigned or distributed by a particular authority or organization to another entity.
-
E.
qualificationSpotAllocation
Indicates the assignment of available qualification spots or slots to entities based on predefined criteria or results.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 6:34 p.m.