Triple
T596305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Nasr SC |
E17389
|
entity |
| Predicate | isOldestProfessionalClubIn |
P15026
|
FINISHED |
| Object | Dubai football |
—
|
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: Dubai football | Statement: [Al Nasr SC, isOldestProfessionalClubIn, Dubai football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOldestProfessionalClubIn Context triple: [Al Nasr SC, isOldestProfessionalClubIn, Dubai football]
-
A.
isOneOfMostSuccessfulClubsIn
Indicates that a club ranks among the most successful clubs within a specified group, region, or competition context.
-
B.
mostSuccessfulClub
Indicates that one club holds the highest level of success (e.g., by titles, achievements, or performance) compared to all other clubs in the given context.
-
C.
isOldestOngoingNationalSoccerTournamentIn
Indicates that a soccer tournament is the oldest continuously held national-level soccer competition within the specified country or region.
-
D.
isOneOfOldestFranchisesIn
chosen
Indicates that an entity is among the earliest-established or longest-running franchises within a specified group, category, or region.
-
E.
isOldest
Indicates that one entity has a greater age than all other relevant entities in the comparison set.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd3e5e08190be95cb2009aad42d |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cfb52c81908d816a4c5579c321 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.