Triple
T37361451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq national football team |
E927589
|
entity |
| Predicate | afcAsianCupRunnerUpYear |
P111647
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Iraq national football team, afcAsianCupRunnerUpYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcAsianCupRunnerUpYear Context triple: [Iraq national football team, afcAsianCupRunnerUpYear, 1984]
-
A.
asianCupRunnersUpYear
chosen
Indicates the year in which an entity finished as runners-up in the AFC Asian Cup tournament.
-
B.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
C.
afcU20AsianCupRunnersUpYears
Indicates the years in which an AFC U-20 Asian Cup team finished the tournament as runners-up.
-
D.
AFCChampionsLeagueRunnersUp
Indicates that an entity finished in second place (as the runners-up) in the AFC Champions League competition.
-
E.
worldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the 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_69f76eb701788190b40824bc4594d985 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.