Triple
T28977073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VJC |
E734438
|
entity |
| Predicate | associatedAirlineHubCountry |
P12358
|
FINISHED |
| Object | Vietnam |
E4138
|
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: Vietnam | Statement: [VJC, associatedAirlineHubCountry, Vietnam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirlineHubCountry Context triple: [VJC, associatedAirlineHubCountry, Vietnam]
-
A.
linkedAirlineCountry
chosen
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
B.
associatedAirportPrimaryHubFor
Indicates that an airport serves as the primary hub for a particular airline or transportation operator.
-
C.
associatedAirportOperatorCountry
Indicates the country in which the operator of the associated airport is based or registered.
-
D.
associatedAirlineHeadquartersIsland
Indicates that an airline’s headquarters are located on a specific island.
-
E.
associatedAirlinePrimaryMarket
Indicates that an airline is primarily associated with, or operates chiefly within, a particular geographic or commercial market.
- F. None of above.
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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a0235be932081908857bc3a77c27e7d |
completed | May 11, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f5dac04819088818b31cbff5263 |
completed | June 7, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_6a022c865dec81909e02b2f330e987e6 |
completed | May 11, 2026, 7:22 p.m. |
Created at: April 28, 2026, 9:09 a.m.