Triple
T27902382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar under-20 national football team |
E705670
|
entity |
| Predicate | bestFIFAU20WorldCupResult |
P163756
|
FINISHED |
| Object | runners-up |
—
|
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: runners-up | Statement: [Qatar under-20 national football team, bestFIFAU20WorldCupResult, runners-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFIFAU20WorldCupResult Context triple: [Qatar under-20 national football team, bestFIFAU20WorldCupResult, runners-up]
-
A.
bestResultFifaWWC
Indicates the highest placement or best performance an entity has achieved in the FIFA Women’s World Cup.
-
B.
bestResultFifaU17WWC
Indicates that the object is the best performance or highest achievement an entity has attained in the FIFA U-17 Women's World Cup.
-
C.
fifaU20WWC_bestResult
Indicates the best performance or highest stage a team has achieved in the FIFA U-20 Women's World Cup tournament.
-
D.
bestResultFIFA U-20 World Cup
Indicates the highest placement or achievement an entity has attained in any edition of the FIFA U-20 World Cup.
-
E.
bestResultFifaWWCYear
Indicates the year in which an entity achieved its best result in the FIFA Women’s World Cup.
- 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_69ef96b490ac8190a412d04c5d009f3e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 6:43 p.m.