Triple
T18464978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donetsk Sergey Prokofiev International Airport |
E451135
|
entity |
| Predicate | closedForCivilianTraffic |
P71241
|
FINISHED |
| Object | 2014 |
—
|
LITERAL FINISHED |
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: 2014 | Statement: [Donetsk Sergey Prokofiev International Airport, closedForCivilianTraffic, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closedForCivilianTraffic Context triple: [Donetsk Sergey Prokofiev International Airport, closedForCivilianTraffic, 2014]
-
A.
closedToCivilianTraffic
chosen
Indicates that access along a route or at a location is restricted so that civilian vehicles or pedestrians are not allowed to use it.
-
B.
closedToAllTraffic
Indicates that the subject is not accessible or usable by any type of traffic.
-
C.
closedToMotorTraffic
Indicates that a route, road, or path is not accessible for use by motor vehicles.
-
D.
closedToThroughTraffic
Indicates that a route or area is not accessible for general passage and cannot be used as a through route for traffic.
-
E.
openedToCivilianTraffic
Indicates that a previously restricted or closed route, facility, or infrastructure has been made accessible for use by civilian (non-military) traffic.
- F. None of above.
Provenance (3 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a82920081909b2b89125db5982a |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:33 a.m.