Triple
T13462458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maykop |
E311405
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Maykop Airport
Maykop Airport is a regional civil airport serving the city of Maykop in the Republic of Adygea, Russia.
|
E1041619
|
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: Maykop Airport | Statement: [Maykop, hasAirport, Maykop Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maykop Airport Context triple: [Maykop, hasAirport, Maykop Airport]
-
A.
Barnaul Airport
Barnaul Airport is a regional airport in Barnaul, Russia, serving as a key air gateway for the Altai Krai region with domestic and limited international flights.
-
B.
Baratayevka Airport
Baratayevka Airport is a regional airport serving the city of Ulyanovsk in Russia.
-
C.
Nalchik Airport
Nalchik Airport is a regional civil airport serving the city of Nalchik in the Kabardino-Balkaria Republic of Russia, handling domestic flights and connecting the area to major Russian destinations.
-
D.
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.
-
E.
Grabtsevo Airport
Grabtsevo Airport is the main commercial airport serving the city of Kaluga in western Russia, providing regional and limited international air connections.
- 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: Maykop Airport Triple: [Maykop, hasAirport, Maykop Airport]
Generated description
Maykop Airport is a regional civil airport serving the city of Maykop in the Republic of Adygea, Russia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maykop Airport Target entity description: Maykop Airport is a regional civil airport serving the city of Maykop in the Republic of Adygea, Russia.
-
A.
Barnaul Airport
Barnaul Airport is a regional airport in Barnaul, Russia, serving as a key air gateway for the Altai Krai region with domestic and limited international flights.
-
B.
Baratayevka Airport
Baratayevka Airport is a regional airport serving the city of Ulyanovsk in Russia.
-
C.
Nalchik Airport
Nalchik Airport is a regional civil airport serving the city of Nalchik in the Kabardino-Balkaria Republic of Russia, handling domestic flights and connecting the area to major Russian destinations.
-
D.
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.
-
E.
Grabtsevo Airport
Grabtsevo Airport is the main commercial airport serving the city of Kaluga in western Russia, providing regional and limited international air connections.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0d95fc81909d9f73d5315dc7b4 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a2c75c819093765eb9d0d2377e |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73db030ec8190a7d6b2cb1a3d52ed |
completed | May 3, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73e8531a48190a280407f291d004c |
completed | May 3, 2026, 12:24 p.m. |
Created at: April 9, 2026, 9:41 p.m.