Triple
T21820857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vršac |
E538720
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Vršac Airport
Vršac Airport is a regional airport in Vršac, Serbia, known primarily as a training and general aviation hub.
|
E1503693
|
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: Vršac Airport | Statement: [Vršac, hasAirport, Vršac Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vršac Airport Context triple: [Vršac, hasAirport, Vršac Airport]
-
A.
Butmir Airport
Butmir Airport is the main international airport serving Sarajevo, the capital of Bosnia and Herzegovina.
-
B.
Banja Luka International Airport
Banja Luka International Airport is a regional airport in Bosnia and Herzegovina serving the city of Banja Luka and the surrounding area with domestic and international flights.
-
C.
Podgorica Airport
Podgorica Airport is the main international airport serving Montenegro’s capital city and one of the country’s primary air gateways.
-
D.
Belgrade Airport
Belgrade Airport is the main international airport serving Serbia’s capital, Belgrade, and one of the busiest air hubs in the Balkans.
-
E.
Kopitnari Airport
Kopitnari Airport is an international airport in western Georgia serving the city of Kutaisi and functioning as a key regional hub for low-cost carriers.
- 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: Vršac Airport Triple: [Vršac, hasAirport, Vršac Airport]
Generated description
Vršac Airport is a regional airport in Vršac, Serbia, known primarily as a training and general aviation hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vršac Airport Target entity description: Vršac Airport is a regional airport in Vršac, Serbia, known primarily as a training and general aviation hub.
-
A.
Butmir Airport
Butmir Airport is the main international airport serving Sarajevo, the capital of Bosnia and Herzegovina.
-
B.
Banja Luka International Airport
Banja Luka International Airport is a regional airport in Bosnia and Herzegovina serving the city of Banja Luka and the surrounding area with domestic and international flights.
-
C.
Podgorica Airport
Podgorica Airport is the main international airport serving Montenegro’s capital city and one of the country’s primary air gateways.
-
D.
Belgrade Airport
Belgrade Airport is the main international airport serving Serbia’s capital, Belgrade, and one of the busiest air hubs in the Balkans.
-
E.
Kopitnari Airport
Kopitnari Airport is an international airport in western Georgia serving the city of Kutaisi and functioning as a key regional hub for low-cost carriers.
- 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0912d414c81909c109c3e45b6e7d2 |
completed | April 28, 2026, 10:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45e136f08190b75f895cbc035db2 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a46e25f28819099e0464dddb50a11 |
completed | May 17, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47957ec881909412730af07fff1e |
completed | May 17, 2026, 10:56 p.m. |
Created at: April 16, 2026, 6:54 p.m.