Triple
T11237726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EVA |
E265985
|
entity |
| Predicate | airlineNationalityOfAirline |
P98611
|
FINISHED |
| Object | Taiwanese |
—
|
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: Taiwanese | Statement: [EVA, airlineNationalityOfAirline, Taiwanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineNationalityOfAirline Context triple: [EVA, airlineNationalityOfAirline, Taiwanese]
-
A.
nationalAirline
Indicates that an airline serves as the official or primary flag carrier of a particular country.
-
B.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
-
C.
airlineBrand
Indicates that one entity functions as the commercial airline brand associated with, or operating under, another entity.
-
D.
airlineType
Indicates the classification or category of an airline based on its operational or service characteristics.
-
E.
airlineFullName
Indicates the complete official name of an airline associated with an entity.
- F. None of above. chosen
Provenance (4 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69d7878906f48190b63ddc103a0c8f9b |
completed | April 9, 2026, 11:03 a.m. |
| PDg | Predicate description generation | batch_69d796cf74308190a5b29d0dd82954a2 |
completed | April 9, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:30 p.m.