Triple
T13864663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iğdır |
E333289
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Iğdır Airport
Iğdır Airport is a public airport in eastern Turkey serving the city and province of Iğdır with domestic flights.
|
E1066184
|
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: Iğdır Airport | Statement: [Iğdır, hasAirport, Iğdır Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iğdır Airport Context triple: [Iğdır, hasAirport, Iğdır Airport]
-
A.
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.
-
B.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
C.
Ağrı Ahmed-i Hani Airport
Ağrı Ahmed-i Hani Airport is a regional public airport in eastern Turkey serving the city and province of Ağrı with domestic flights.
-
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.
Erzurum Airport
Erzurum Airport is a public airport serving the city of Erzurum in eastern Turkey, handling both domestic and limited international flights.
- 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: Iğdır Airport Triple: [Iğdır, hasAirport, Iğdır Airport]
Generated description
Iğdır Airport is a public airport in eastern Turkey serving the city and province of Iğdır with domestic flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iğdır Airport Target entity description: Iğdır Airport is a public airport in eastern Turkey serving the city and province of Iğdır with domestic flights.
-
A.
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.
-
B.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
C.
Ağrı Ahmed-i Hani Airport
Ağrı Ahmed-i Hani Airport is a regional public airport in eastern Turkey serving the city and province of Ağrı with domestic flights.
-
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.
Erzurum Airport
Erzurum Airport is a public airport serving the city of Erzurum in eastern Turkey, handling both domestic and limited international flights.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c30d9c81908217d41a3b4aaf85 |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c10113288190b799126d934df92a |
completed | May 3, 2026, 9:41 p.m. |
| NEDg | Description generation | batch_69f7c1e7efd88190ac07472647da69e7 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:14 p.m.