Triple
T24177839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Cypriot airlines |
E599332
|
entity |
| Predicate | commonDestinationCountry |
P119872
|
FINISHED |
| Object | Turkey |
—
|
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: Turkey | Statement: [Turkish Cypriot airlines, commonDestinationCountry, Turkey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonDestinationCountry Context triple: [Turkish Cypriot airlines, commonDestinationCountry, Turkey]
-
A.
territoryOfDestination
chosen
Indicates that a specified territory is the destination or endpoint location associated with an action, movement, or relation.
-
B.
recipientCountry
Indicates the country that receives something (such as goods, services, aid, or communication) from another party.
-
C.
endingCountry
Indicates the country in which an event, journey, process, or relationship comes to an end.
-
D.
overseasCountry
Indicates that one entity is a country located outside the primary or reference country associated with the other entity.
-
E.
primaryDomesticDestination
Indicates that one location is the main or most significant destination within the same country for travel, transport, or activity originating from another location.
- 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_69e288cca05481908faeb1563711114a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:34 p.m.