Triple
T17700447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTAN |
E441283
|
entity |
| Predicate | identifies |
P310
|
FINISHED |
| Object | Konya 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: Konya Airport | Statement: [LTAN, identifies, Konya Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konya Airport Context triple: [LTAN, identifies, Konya Airport]
-
A.
Konya Airport
chosen
Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
-
B.
Kayseri Erkilet Airport
Kayseri Erkilet Airport is a regional and international airport in central Turkey that serves as a major air gateway for travelers visiting the Cappadocia region.
-
C.
Nevşehir Kapadokya Airport
Nevşehir Kapadokya Airport is a regional airport in central Turkey that serves as a primary air gateway for tourists visiting the Cappadocia region.
-
D.
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.
-
E.
Bursa Yenişehir Airport
Bursa Yenişehir Airport is a regional airport in Turkey serving the city of Bursa with domestic and limited international 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:04 a.m.