Triple
T15377476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Arab Emirates national football team |
E367705
|
entity |
| Predicate | afcMemberSince |
P118521
|
FINISHED |
| Object | 1974 |
—
|
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: 1974 | Statement: [United Arab Emirates national football team, afcMemberSince, 1974]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcMemberSince Context triple: [United Arab Emirates national football team, afcMemberSince, 1974]
-
A.
UEFAMembershipSince
Indicates that an entity has been a member of UEFA starting from a specified date or point in time.
-
B.
CAFMemberSince
Indicates that an entity has been a member of the CAF (or a specified organization/group named CAF) since a particular date or point in time.
-
C.
leagueEntryYear
Indicates the year in which an entity first entered or joined a particular league.
-
D.
nflTeamTenure
Indicates the period of time that an individual was a member of a specific NFL team.
-
E.
EEFFMemberSince
Indicates the date or point in time when an entity became a member of the EEFF.
- 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.