Triple
T8622331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutaisi International Airport |
E204196
|
entity |
| Predicate | openedToCivilianTraffic |
P84489
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Kutaisi International Airport, openedToCivilianTraffic, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedToCivilianTraffic Context triple: [Kutaisi International Airport, openedToCivilianTraffic, 1990s]
-
A.
openedToMilitaryTraffic
Indicates that a route, facility, or passage has been made accessible and available for use by military vehicles or operations.
-
B.
openedToPassengerTraffic
Indicates that a transportation facility or route began operating and accepting passengers for regular use.
-
C.
closedToCivilianTraffic
Indicates that access along a route or at a location is restricted so that civilian vehicles or pedestrians are not allowed to use it.
-
D.
openedForThroughTraffic
Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
-
E.
reopenedToTraffic
Indicates that a previously closed route or transportation facility has been opened again for use by traffic.
- F. None of above. chosen
Provenance (4 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc572d99bc819097f36b140c2ee1ce |
completed | March 31, 2026, 11:22 p.m. |
Created at: March 30, 2026, 6:26 p.m.