Triple
T37361454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq national football team |
E927589
|
entity |
| Predicate | afcAsianCupFourthPlaceYear |
P188858
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Iraq national football team, afcAsianCupFourthPlaceYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcAsianCupFourthPlaceYear Context triple: [Iraq national football team, afcAsianCupFourthPlaceYear, 2015]
-
A.
afcAsianCupThirdPlaceYear
Indicates the year in which a team achieved third place in the AFC Asian Cup tournament.
-
B.
asianCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in the AFC Asian Cup tournament.
-
C.
afcU20AsianCupThirdPlaceYears
Indicates the years in which a team achieved third place in the AFC U-20 Asian Cup tournament.
-
D.
wonAsianCupWinnersCup
Indicates that one entity (typically a sports team or club) has won the Asian Cup Winners' Cup competition.
-
E.
WorldCupFourthPlaceYear
Indicates the year in which an entity (typically a team or country) finished in fourth place at a FIFA World Cup tournament.
- 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.