Triple
T6704922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayseri |
E152975
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Erkilet International Airport
Erkilet International Airport is a public airport serving the city of Kayseri in central Turkey, handling both domestic and international flights.
|
E615882
|
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: Erkilet International Airport | Statement: [Kayseri, hasAirport, Erkilet International Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erkilet International Airport Context triple: [Kayseri, hasAirport, Erkilet International Airport]
-
A.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
B.
Gumrak Airport
Gumrak Airport is the former name of Volgograd International Airport, a regional air hub serving the city of Volgograd in southwestern Russia.
-
C.
Jowhar Airport
Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
-
D.
Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
-
E.
Hisar Airport
Hisar Airport is a domestic airport in the Indian state of Haryana that serves the city of Hisar and surrounding regions.
- 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: Erkilet International Airport Triple: [Kayseri, hasAirport, Erkilet International Airport]
Generated description
Erkilet International Airport is a public airport serving the city of Kayseri in central Turkey, handling both domestic and international flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erkilet International Airport Target entity description: Erkilet International Airport is a public airport serving the city of Kayseri in central Turkey, handling both domestic and international flights.
-
A.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
B.
Gumrak Airport
Gumrak Airport is the former name of Volgograd International Airport, a regional air hub serving the city of Volgograd in southwestern Russia.
-
C.
Jowhar Airport
Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
-
D.
Al Aroui Airport
Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
-
E.
Hisar Airport
Hisar Airport is a domestic airport in the Indian state of Haryana that serves the city of Hisar and surrounding regions.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e919748190953d893eb61724e7 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af6d1608190887c5d9f94ffe9fa |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70c6ec7bc81909c37dbe33ce6a57d |
completed | March 27, 2026, 11:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cae43bc8190a88b07bd99b91196 |
completed | March 27, 2026, 11:03 p.m. |
Created at: March 27, 2026, 2:06 p.m.