Triple
T18370147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erzurum |
E446160
|
entity |
| Predicate | transport |
P230
|
FINISHED |
| Object | Erzurum Airport |
—
|
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: Erzurum Airport | Statement: [Erzurum, transport, Erzurum Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erzurum Airport Context triple: [Erzurum, transport, Erzurum Airport]
-
A.
Erzurum Airport
chosen
Erzurum Airport is a public airport serving the city of Erzurum in eastern Turkey, handling both domestic and limited international flights.
-
B.
Elazığ Airport
Elazığ Airport is a public airport in eastern Turkey that serves the city of Elazığ and its surrounding region with domestic flights.
-
C.
Sivas Nuri Demirağ Airport
Sivas Nuri Demirağ Airport is a public airport serving the city and province of Sivas in central Turkey, providing domestic and limited international air connections.
-
D.
Muş Airport
Muş Airport is a regional public airport in eastern Turkey that serves the city of Muş and its surrounding area with domestic flights.
-
E.
Erzincan Airport
Erzincan Airport is a public airport in eastern Turkey that serves the city of Erzincan and its surrounding province with domestic flights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51751e4288190873bcc4dc140ac16 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 10:44 a.m.