Triple
T325211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KLAX |
E6499
|
entity |
| Predicate | isFocusCityFor |
P1295
|
FINISHED |
| Object | China Airlines |
E31449
|
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: China Airlines | Statement: [KLAX, isFocusCityFor, China Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Airlines Context triple: [KLAX, isFocusCityFor, China Airlines]
-
A.
China Airlines
chosen
China Airlines is the flag carrier of Taiwan, operating an extensive network of international passenger and cargo flights across Asia, Europe, North America, and Oceania.
-
B.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
C.
China Eastern Airlines
China Eastern Airlines is a major Chinese airline based in Shanghai that operates extensive domestic and international routes as one of the country’s largest carriers.
-
D.
China Southern Airlines
China Southern Airlines is one of China’s largest airlines, operating extensive domestic and international routes from major hubs like Guangzhou and Beijing.
-
E.
Korean Air
Korean Air is South Korea’s largest airline and flag carrier, operating extensive international and domestic passenger and cargo services worldwide.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea959f9c819084602b8a1b5e66dd |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3cfec426081908a0c7e968846515a |
completed | March 1, 2026, 5:34 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.