Triple
T7455285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandarin Airlines |
E172106
|
entity |
| Predicate | parentOrganization |
P254
|
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: [Mandarin Airlines, parentOrganization, China Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: China Airlines Context triple: [Mandarin Airlines, parentOrganization, 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.
Tigerair Taiwan
Tigerair Taiwan is a Taiwanese low-cost airline based in Taoyuan that operates regional flights across East and Southeast Asia.
-
C.
T'way Air
T'way Air is a South Korean low-cost airline headquartered in Seoul that operates domestic and international flights across Asia.
-
D.
EVA Air
EVA Air is a major Taiwanese international airline known for its extensive global route network, high service standards, and innovative themed flights such as its Hello Kitty jets.
-
E.
Cathay Pacific
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3af58dc819093fb0482482779a3 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8682c7c64819081bc1110a3a6e305 |
completed | March 28, 2026, 11:45 p.m. |
Created at: March 27, 2026, 3:15 p.m.