Triple
T35222957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethniki Ellados |
E1017008
|
entity |
| Predicate | bestFIFAWCresult |
P14835
|
FINISHED |
| Object | Round of 16 at 2014 FIFA World Cup |
—
|
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 at 2014 FIFA World Cup | Statement: [Ethniki Ellados, bestFIFAWCresult, Round of 16 at 2014 FIFA World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestFIFAWCresult Context triple: [Ethniki Ellados, bestFIFAWCresult, Round of 16 at 2014 FIFA World Cup]
-
A.
bestResultFifaWWCYear
Indicates the year in which an entity achieved its best result in the FIFA Women’s World Cup.
-
B.
bestResultFifaWWC
Indicates the highest placement or best performance an entity has achieved in the FIFA Women’s World Cup.
-
C.
worldCupOverallBestResult
Indicates the best overall performance or highest finishing position an entity has achieved in any edition of the FIFA World Cup.
-
D.
bestWorldCupFinish
Indicates the highest stage or ranking a team or participant has ever achieved in any edition of the World Cup.
-
E.
bestWorldCupResult
chosen
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.