Triple
T22661712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honduras national under-20 football team |
E559680
|
entity |
| Predicate | bestResultFIFAU20WorldCup |
P75562
|
FINISHED |
| Object | round of 16 |
—
|
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: round of 16 | Statement: [Honduras national under-20 football team, bestResultFIFAU20WorldCup, round of 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestResultFIFAU20WorldCup Context triple: [Honduras national under-20 football team, bestResultFIFAU20WorldCup, round of 16]
-
A.
bestResultFifaWWC
Indicates the highest placement or best performance an entity has achieved in the FIFA Women’s World Cup.
-
B.
bestResultFIFA U-20 World Cup
chosen
Indicates the highest placement or achievement an entity has attained in any edition of the FIFA U-20 World Cup.
-
C.
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.
-
D.
bestResultFifaWWCYear
Indicates the year in which an entity achieved its best result in the FIFA Women’s World Cup.
-
E.
bestResultFifaU17WWCYear
Indicates the year in which an entity achieved its best performance or result at the FIFA U-17 Women's 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1765fe7d081908087778c54c1e612 |
completed | April 29, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:07 p.m.