Triple
T25094634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NATO supply routes (historical) |
E628554
|
entity |
| Predicate | alternativeTransitCountry |
P83399
|
FINISHED |
| Object | Kazakhstan |
—
|
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: Kazakhstan | Statement: [NATO supply routes (historical), alternativeTransitCountry, Kazakhstan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeTransitCountry Context triple: [NATO supply routes (historical), alternativeTransitCountry, Kazakhstan]
-
A.
viaCountry
chosen
Indicates that something passes through, transits, or is routed by way of a specified country.
-
B.
endingCountry
Indicates the country in which an event, journey, process, or relationship comes to an end.
-
C.
publicTransit
Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
-
D.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
-
E.
betweenCountry
Indicates a relationship or interaction that involves or occurs among two or more countries.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:24 a.m.