Triple
T1458339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China Airlines |
E31449
|
entity |
| Predicate | loyaltyProgram |
P178
|
FINISHED |
| Object | Dynasty Flyer |
E168119
|
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: Dynasty Flyer | Statement: [China Airlines, loyaltyProgram, Dynasty Flyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dynasty Flyer Context triple: [China Airlines, loyaltyProgram, Dynasty Flyer]
-
A.
Dynasty Flyer
chosen
Dynasty Flyer is the frequent-flyer loyalty program of China Airlines, offering mileage accrual and redemption benefits to its members.
-
B.
Flying J
Flying J is a chain of highway travel centers and truck stops in North America, known for providing fuel, food, and amenities for professional drivers and motorists.
-
C.
Swoop
Swoop is the Philadelphia Eagles’ official bald eagle mascot, known for entertaining fans at games and team events.
-
D.
Ramport Aero
Ramport Aero is the company responsible for managing and operating Zhukovsky International Airport near Moscow, Russia.
-
E.
Sully Wing
Sully Wing is one of the main historic wings of the Louvre Museum in Paris, housing collections such as ancient Near Eastern antiquities and French paintings.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a299ac81908f37085a107c8e9f |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8 p.m.