Triple
T26226162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jal Marg Vikas Project |
E655897
|
entity |
| Predicate | startPointOfWaterway |
P180297
|
FINISHED |
| Object | Varanasi |
—
|
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: Varanasi | Statement: [Jal Marg Vikas Project, startPointOfWaterway, Varanasi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startPointOfWaterway Context triple: [Jal Marg Vikas Project, startPointOfWaterway, Varanasi]
-
A.
waterwayJunction
Indicates a point where two or more waterways meet, intersect, or branch from one another.
-
B.
waterwayDestination
Indicates that a waterway leads to, flows into, or terminates at a specified destination.
-
C.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
D.
stateWaterway
Indicates that a waterway is located within, passes through, or is otherwise geographically associated with a particular state.
-
E.
riverLocation
Indicates that a river is located in, passes through, or is geographically associated with a specified place or region.
- F. None of above. chosen
Provenance (4 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
| PDg | Predicate description generation | batch_69f73adfd9a081908adae6bd59dfefb9 |
completed | May 3, 2026, 12:09 p.m. |
Created at: April 26, 2026, 8:58 p.m.