Triple
T18290527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beslan |
E438099
|
entity |
| Predicate | hasAirportNearby |
P4363
|
FINISHED |
| Object | Beslan Airport |
—
|
NE NERFINISHED |
How this triple was built (2 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: Beslan Airport | Statement: [Beslan, hasAirportNearby, Beslan Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beslan Airport Context triple: [Beslan, hasAirportNearby, Beslan Airport]
-
A.
Beslan Airport
chosen
Beslan Airport is a regional airport serving the city of Vladikavkaz and the surrounding area in the Republic of North Ossetia–Alania, Russia.
-
B.
Grozny Airport
Grozny Airport is the main civil aviation airport serving the city of Grozny and the surrounding region in the Chechen Republic, Russia.
-
C.
Kazan International Airport
Kazan International Airport is the main commercial airport serving the city of Kazan and the surrounding region in Tatarstan, Russia.
-
D.
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.
-
E.
Karshi Airport
Karshi Airport is a regional airport serving the city of Karshi in southern Uzbekistan, handling domestic flights and connecting the area to other parts of the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fee5248190928e68ddaa4d90d7 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.