Triple
T11273714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechoslovakia national football team |
E266876
|
entity |
| Predicate | bestFIFAWorldCupResult |
P14835
|
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: [Czechoslovakia national football team, bestFIFAWorldCupResult, runners-up]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFIFAWorldCupResult Context triple: [Czechoslovakia national football team, bestFIFAWorldCupResult, runners-up]
-
A.
bestWorldCupResult
chosen
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
B.
bestWorldCupResultYear
Indicates the year in which an entity achieved its best (highest) result in a World Cup tournament.
-
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.
bestResultFifaU17WWCYear
Indicates the year in which an entity achieved its best performance or result at the FIFA U-17 Women's World Cup.
-
E.
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.
- 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_69d6aac8c2f48190ad0596f1f89f0470 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e965c9048190804ebb48f0a4817b |
completed | April 9, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69d787a240588190aa097298f951c915 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:31 p.m.