Triple
T35811329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey–Soviet Union border |
E1035235
|
entity |
| Predicate | adjacentSeaOrRiver |
P25960
|
FINISHED |
| Object | Aras River |
—
|
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: Aras River | Statement: [Turkey–Soviet Union border, adjacentSeaOrRiver, Aras River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentSeaOrRiver Context triple: [Turkey–Soviet Union border, adjacentSeaOrRiver, Aras River]
-
A.
adjacentSea
Indicates that one geographic entity directly borders or is next to a particular sea.
-
B.
adjacentToBodyOfWater
chosen
Indicates that one entity is directly next to or bordering a body of water, such as a lake, river, or ocean.
-
C.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
D.
borderedBySeaViaRiverMouth
Indicates that a place is bordered by the sea specifically at the point where a river flows into it (its river mouth).
-
E.
nearestLargeBodyOfWater
Indicates the closest significant body of water in proximity to a given location or entity.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: May 3, 2026, 4:06 p.m.