Triple
T15377464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Arab Emirates national football team |
E367705
|
entity |
| Predicate | afcAsianCupFirstAppearance |
P118518
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [United Arab Emirates national football team, afcAsianCupFirstAppearance, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcAsianCupFirstAppearance Context triple: [United Arab Emirates national football team, afcAsianCupFirstAppearance, 1980]
-
A.
asianCupAppearances
Indicates the number of times an entity has participated in the AFC Asian Cup tournament.
-
B.
wonAsianCupWinnersCup
Indicates that one entity (typically a sports team or club) has won the Asian Cup Winners' Cup competition.
-
C.
firstIncludedInAsianGames
Indicates the edition of the Asian Games in which an entity (such as a sport or event) was first included in the program.
-
D.
afconParticipation
Indicates that an entity took part in, qualified for, or was involved as a competitor in the Africa Cup of Nations football tournament.
-
E.
asiaCupWinner
Indicates that one entity is the champion or winning team of the Asia Cup tournament in a given edition or year.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5ece1081908d7c1289258b9c1f |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.