Triple
T33417367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resia Pass |
E855753
|
entity |
| Predicate | waterDivideBetween |
P15761
|
FINISHED |
| Object | Adige basin |
—
|
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: Adige basin | Statement: [Resia Pass, waterDivideBetween, Adige basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterDivideBetween Context triple: [Resia Pass, waterDivideBetween, Adige basin]
-
A.
watershedBetween
Indicates that a geographic feature or boundary serves as the dividing line between two drainage basins or river systems.
-
B.
dividedBetween
Indicates that something is partitioned or shared among two or more distinct entities or groups.
-
C.
waterDivertedFrom
Indicates that water is intentionally redirected or channeled away from one source, path, or location to another.
-
D.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
-
E.
drainageDivideOf
chosen
Indicates that one geographic feature functions as the drainage divide (separating water flow into different basins) for another feature or area.
- 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_69f3496fdf0081908c1aa30870ce518b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 1, 2026, 1:36 a.m.