Triple
T11432478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taipei–Hong Kong |
E270918
|
entity |
| Predicate | servedByCarrierType |
P9478
|
FINISHED |
| Object | full-service airlines |
—
|
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: full-service airlines | Statement: [Taipei–Hong Kong, servedByCarrierType, full-service airlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByCarrierType Context triple: [Taipei–Hong Kong, servedByCarrierType, full-service airlines]
-
A.
basedOnCarrierType
Indicates that something is determined or defined according to the type or category of carrier involved.
-
B.
isFullServiceCarrier
Indicates that an airline operates as a full-service carrier, providing a wide range of services (such as checked baggage, in-flight meals, and multiple cabin classes) typically included in the ticket price.
-
C.
servesAirlineType
chosen
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
-
D.
hasCargoServices
Indicates that an entity provides or is equipped to handle cargo transportation or freight services for another entity or location.
-
E.
deliveredBy
Indicates that something (such as a product, message, or service) is brought, transported, or provided to its destination by a specified agent or carrier.
- F. None of above.
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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c30d788190b0c939b33de89277 |
completed | April 9, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69d7e71436f88190ac7e45a04ea5c987 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.