Triple
T34952950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nok Fan Club |
E1008050
|
entity |
| Predicate | pointEarningActivity |
P61422
|
FINISHED |
| Object | flying with Nok Air |
—
|
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: flying with Nok Air | Statement: [Nok Fan Club, pointEarningActivity, flying with Nok Air]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pointEarningActivity Context triple: [Nok Fan Club, pointEarningActivity, flying with Nok Air]
-
A.
loyaltyProgramEarnings
Indicates the amount or details of rewards or benefits a participant accrues within a loyalty or rewards program.
-
B.
pointsEarnedFrom
Indicates the number of points that an entity has received as a result of another specified source, action, or event.
-
C.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
D.
awardedForActivitiesIn
Indicates that an award or recognition is given to an entity specifically because of activities carried out in a particular field, context, or domain.
-
E.
earnActivity
chosen
Indicates that an entity gains or receives something of value (such as money, points, or rewards) as a result of performing a particular activity.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.