Triple
T12722616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uşak |
E304022
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object |
Uşak Airport
Uşak Airport is a regional public airport serving the city and province of Uşak in western Turkey.
|
E1004804
|
NE FINISHED |
How this triple was built (4 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: Uşak Airport | Statement: [Uşak, hasTransport, Uşak Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uşak Airport Context triple: [Uşak, hasTransport, Uşak Airport]
-
A.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
B.
Erzincan Airport
Erzincan Airport is a public airport in eastern Turkey that serves the city of Erzincan and its surrounding province with domestic flights.
-
C.
Konya Airport
Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
-
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.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Uşak Airport Triple: [Uşak, hasTransport, Uşak Airport]
Generated description
Uşak Airport is a regional public airport serving the city and province of Uşak in western Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uşak Airport Target entity description: Uşak Airport is a regional public airport serving the city and province of Uşak in western Turkey.
-
A.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
B.
Erzincan Airport
Erzincan Airport is a public airport in eastern Turkey that serves the city of Erzincan and its surrounding province with domestic flights.
-
C.
Konya Airport
Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
-
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.
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.
- F. None of above. chosen
Provenance (5 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d964148f988190a4d0e7b41614fa64 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68eb1ca1081909b2e9e70f6a497dd |
completed | May 2, 2026, 11:54 p.m. |
| NEDg | Description generation | batch_69f691341d0081909ca3b281ee64b42b |
completed | May 3, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69237394c8190832d6dae22434fdc |
completed | May 3, 2026, 12:09 a.m. |
Created at: April 9, 2026, 5:24 p.m.