Triple
T383881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathay Pacific |
E8737
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | CATHAY |
E8737
|
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: CATHAY | Statement: [Cathay Pacific, callsign, CATHAY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CATHAY Context triple: [Cathay Pacific, callsign, CATHAY]
-
A.
Cathay Pacific
chosen
Cathay Pacific is a major Hong Kong-based international airline known for its extensive global network and premium full-service operations.
-
B.
China Airlines
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.
-
C.
Cathaya
Cathaya is a rare, relict conifer genus of the pine family known from limited mountainous regions in China and valued for its evolutionary significance.
-
D.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
E.
Hakka
Hakka is a Sinitic language spoken primarily by the Hakka people across southern China and various overseas Chinese communities.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec422b808190b6ddf747ef939151 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fe95c7088190a1538eecb2ac6955 |
completed | March 1, 2026, 8:53 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.