Triple
T27902383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar under-20 national football team |
E705670
|
entity |
| Predicate | bestFIFAU20WorldCupResultYear |
P163756
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Qatar under-20 national football team, bestFIFAU20WorldCupResultYear, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFIFAU20WorldCupResultYear Context triple: [Qatar under-20 national football team, bestFIFAU20WorldCupResultYear, 1981]
-
A.
bestFIFAU20WorldCupResult
chosen
Indicates the highest achievement or furthest stage an entity has reached in FIFA U-20 World Cup competitions.
-
B.
bestResultFifaWWCYear
Indicates the year in which an entity achieved its best result in the FIFA Women’s World Cup.
-
C.
bestResultFifaU17WWCYear
Indicates the year in which an entity achieved its best performance or result at the FIFA U-17 Women's World Cup.
-
D.
FIFAU20WorldCupTitleYear
Indicates the year in which an entity won the FIFA U-20 World Cup title.
-
E.
bestResultFIFA U-20 World CupYear
Indicates the best performance or final standing an entity achieved in a given year’s FIFA U-20 World Cup.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:43 p.m.