Triple
T1847892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trabzon |
E41325
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Trabzon Airport
Trabzon Airport is a public airport serving the city of Trabzon on Turkey’s northeastern Black Sea coast, handling domestic and limited international flights.
|
E206172
|
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: Trabzon Airport | Statement: [Trabzon, hasAirport, Trabzon Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trabzon Airport Context triple: [Trabzon, hasAirport, Trabzon Airport]
-
A.
Konya Airport
Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
-
B.
Bursa Yenişehir Airport
Bursa Yenişehir Airport is a regional airport in Turkey serving the city of Bursa with domestic and limited international flights.
-
C.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
D.
Adnan Menderes Airport
Adnan Menderes Airport is the main international airport serving the city of Izmir and the surrounding Aegean region of Turkey.
-
E.
Antalya Airport
Antalya Airport is a major international airport in Turkey that serves the popular Mediterranean resort city of Antalya and its surrounding tourist 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: Trabzon Airport Triple: [Trabzon, hasAirport, Trabzon Airport]
Generated description
Trabzon Airport is a public airport serving the city of Trabzon on Turkey’s northeastern Black Sea coast, handling domestic and limited international flights.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trabzon Airport Target entity description: Trabzon Airport is a public airport serving the city of Trabzon on Turkey’s northeastern Black Sea coast, handling domestic and limited international flights.
-
A.
Konya Airport
Konya Airport is a combined civil and military airport serving the city of Konya in central Turkey.
-
B.
Bursa Yenişehir Airport
Bursa Yenişehir Airport is a regional airport in Turkey serving the city of Bursa with domestic and limited international flights.
-
C.
Oğuzeli Airport
Oğuzeli Airport is the main public airport serving the city and province of Gaziantep in southeastern Turkey.
-
D.
Adnan Menderes Airport
Adnan Menderes Airport is the main international airport serving the city of Izmir and the surrounding Aegean region of Turkey.
-
E.
Antalya Airport
Antalya Airport is a major international airport in Turkey that serves the popular Mediterranean resort city of Antalya and its surrounding tourist 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb05412a08190855ea453d1264ea3 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c2e0a081909f521e6f73956239 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaf1917c819090eac27de62494ca |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbba64588190aa0ebd2b6f67afa7 |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.