Triple
T22469002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parushni River |
E555438
|
entity |
| Predicate | flowsThroughModernRegion |
P127828
|
FINISHED |
| Object | northwestern India |
—
|
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: northwestern India | Statement: [Parushni River, flowsThroughModernRegion, northwestern India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flowsThroughModernRegion Context triple: [Parushni River, flowsThroughModernRegion, northwestern India]
-
A.
flowsThroughRegionType
Indicates that something such as a fluid, current, or pathway passes through and traverses a specified type of region.
-
B.
flowsIntoRegion
Indicates that a substance, medium, or flow from one entity moves into and enters the spatial area defined by another region.
-
C.
flowsInRegionWith
Indicates that something (such as a fluid, current, or process) moves or progresses within a specified geographic or spatial region.
-
D.
flowsThroughCountryRegion
chosen
Indicates that a river, stream, or similar watercourse passes through or traverses the territory of a specified country or region.
-
E.
flowsNearAdministrativeRegion
Indicates that a flowing feature (such as a river or stream) passes in close proximity to a specified administrative region without necessarily passing through it.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdeae9c8190a5b66e540484db37 |
completed | April 29, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69e898b6eee08190ba673a0ee329e671 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.