Triple
T413344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hindu Kush |
E9537
|
entity |
| Predicate | riverBasins |
P1559
|
FINISHED |
| Object | Amu Darya basin |
—
|
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: Amu Darya basin | Statement: [Hindu Kush, riverBasins, Amu Darya basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riverBasins Context triple: [Hindu Kush, riverBasins, Amu Darya basin]
-
A.
riverSystem
Indicates that one entity is a river system to which the other entity belongs or is a component (such as a tributary or segment).
-
B.
waterwaySystem
Indicates that one entity is part of, or belongs to, a connected network of waterways associated with another entity.
-
C.
drainageBasin
chosen
Indicates the area of land where all precipitation and surface water flow are collected and drained toward a particular river, lake, or other water body.
-
D.
oceanDrainageBasin
Indicates the ocean into which a river system or drainage basin ultimately discharges its water.
-
E.
hasRiver
Indicates that a location or area contains, is traversed by, or is directly associated with a river.
- 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_69a2e80111fc8190961d5b7c6154123f |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ecdc422881908910428fd1aee7c6 |
completed | Feb. 28, 2026, 1:25 p.m. |
| PD | Predicate disambiguation | batch_69a2e9749234819084b0ce94faabd0b1 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:09 p.m.