Triple
T7816298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahyadri |
E181013
|
entity |
| Predicate | sourceRegionFor |
P410
|
FINISHED |
| Object | many west-flowing rivers |
—
|
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: many west-flowing rivers | Statement: [Sahyadri, sourceRegionFor, many west-flowing rivers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceRegionFor Context triple: [Sahyadri, sourceRegionFor, many west-flowing rivers]
-
A.
sourceRegion
chosen
Indicates the geographic or spatial region from which something originates or is derived.
-
B.
recipientRegion
Indicates the geographic region that receives or is the destination of a transfer, delivery, or directed action.
-
C.
originSubregion
Indicates the specific subregional area from which an entity originates or is derived.
-
D.
isFromRegion
Indicates that one entity originates from, is associated with, or belongs to a specified geographic region.
-
E.
landingRegion
Indicates the area or zone where an object or entity comes to rest or makes contact after moving or descending.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf96d1f088190a1d005ffb019afe9 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:39 p.m.