Triple
T26025224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LJ |
E647269
|
entity |
| Predicate | airlineIATACountry |
P98611
|
FINISHED |
| Object | South Korea |
—
|
NE NERFINISHED |
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: South Korea | Statement: [LJ, airlineIATACountry, South Korea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineIATACountry Context triple: [LJ, airlineIATACountry, South Korea]
-
A.
linkedAirlineCountry
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.
airportCountryCode
Indicates the country code associated with the airport in question.
-
C.
airlineNationalityOfAirline
chosen
Indicates the country or nationality with which an airline is associated.
-
D.
associatedAirportOperatorCountry
Indicates the country in which the operator of the associated airport is based or registered.
-
E.
IATAcode
Indicates the three-letter IATA airport or airline code assigned to the entity.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 22, 2026, 9:05 a.m.