Triple
T5984579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey national football team |
E133194
|
entity |
| Predicate | bestConfederationsCupResultYear |
P67748
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [Turkey national football team, bestConfederationsCupResultYear, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestConfederationsCupResultYear Context triple: [Turkey national football team, bestConfederationsCupResultYear, 2003]
-
A.
bestWorldCupResultYear
Indicates the year in which an entity achieved its best (highest) result in a World Cup tournament.
-
B.
wonConfederationsCup
Indicates that the subject has won the FIFA Confederations Cup tournament.
-
C.
FIFAConfederationsCupTitleYear
Indicates the specific year in which an entity won a FIFA Confederations Cup title.
-
D.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
E.
bestEuropeanChampionshipResultYear
Indicates the year in which an entity achieved its best result in the European Championship.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6c4f2481909cdcf931331b3595 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04a663a4481908983048c69cba6b6 |
completed | March 22, 2026, 8 p.m. |
Created at: March 22, 2026, 4:04 p.m.