Triple
T3854445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabua Club |
E85377
|
entity |
| Predicate | hasTier |
P2393
|
FINISHED |
| Object | Tabua Club Corporate |
E85377
|
NE 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: Tabua Club Corporate | Statement: [Tabua Club, hasTier, Tabua Club Corporate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabua Club Corporate Context triple: [Tabua Club, hasTier, Tabua Club Corporate]
-
A.
Tabua Club
chosen
Tabua Club is Fiji Airways’ frequent flyer program offering members benefits such as mileage accrual, flight rewards, and travel privileges.
-
B.
United Club
United Club is United Airlines’ network of airport lounges offering travelers comfortable seating, complimentary snacks and drinks, workspaces, and other amenities in airports worldwide.
-
C.
Asiana Club
Asiana Club is the loyalty program of Asiana Airlines that rewards members with mileage points and tier benefits for flying and partner activities.
-
D.
Hatta Club
Hatta Club is a professional football club based in Hatta, United Arab Emirates, competing in the country’s top-tier league system.
-
E.
Abha Club
Abha Club is a professional football team based in Abha, Saudi Arabia, that competes in the country’s top-tier league system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec0438308190865ff74bee5a1cf2 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5041c7250819093b2743afeb6e36c |
completed | March 14, 2026, 6:45 a.m. |
Created at: March 9, 2026, 3:19 p.m.