Triple
T2416781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karaganda |
E52322
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Sary-Arka Airport
Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
|
E264579
|
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: Sary-Arka Airport | Statement: [Karaganda, hasAirport, Sary-Arka Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sary-Arka Airport Context triple: [Karaganda, hasAirport, Sary-Arka Airport]
-
A.
Almaza Airport
Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
-
B.
Shymkent International Airport
Shymkent International Airport is a major airport in southern Kazakhstan that serves the city of Shymkent with domestic and international flights.
-
C.
Nadym Airport
Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
-
D.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
E.
Tolmachevo Airport
Tolmachevo Airport is a major international airport in Novosibirsk, Russia, serving as a key air transport hub for Siberia and a primary base for several Russian airlines.
- 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: Sary-Arka Airport Triple: [Karaganda, hasAirport, Sary-Arka Airport]
Generated description
Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sary-Arka Airport Target entity description: Sary-Arka Airport is the main international airport serving the city of Karaganda in central Kazakhstan.
-
A.
Almaza Airport
Almaza Airport is a historic airfield in Cairo that served as the city's main airport before the opening of Cairo International Airport.
-
B.
Shymkent International Airport
Shymkent International Airport is a major airport in southern Kazakhstan that serves the city of Shymkent with domestic and international flights.
-
C.
Nadym Airport
Nadym Airport is a regional airport in Nadym, Russia, primarily serving as a key base for operations in the Yamalo-Nenets Autonomous Okrug.
-
D.
Gardabya Airport
Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
-
E.
Tolmachevo Airport
Tolmachevo Airport is a major international airport in Novosibirsk, Russia, serving as a key air transport hub for Siberia and a primary base for several Russian airlines.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc94eafd481909eeff689e5bf5960 |
completed | March 7, 2026, 6:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf4a784c819082c47e3936242478 |
completed | March 9, 2026, 12:38 p.m. |
| NEDg | Description generation | batch_69aec28e0e38819085027240e2b3eb1b |
completed | March 9, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec34a9a0481908c1033cb7d4b1516 |
completed | March 9, 2026, 12:55 p.m. |
Created at: March 6, 2026, 9:42 p.m.