Triple
T3454015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardar Sarovar Dam |
E72857
|
entity |
| Predicate | reservoirGrossStorageCapacity_m3 |
P48317
|
FINISHED |
| Object | 9.5e9 |
—
|
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: 9.5e9 | Statement: [Sardar Sarovar Dam, reservoirGrossStorageCapacity_m3, 9.5e9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservoirGrossStorageCapacity_m3 Context triple: [Sardar Sarovar Dam, reservoirGrossStorageCapacity_m3, 9.5e9]
-
A.
reservoirTotalCapacity
Indicates the maximum volume of water that a reservoir is designed to hold when full.
-
B.
reservoir
Indicates that one entity serves as a storage or containment source (often for a resource) that can supply or affect another entity.
-
C.
reservoirAlsoKnownAs
Indicates that a reservoir is referred to by an alternative name or alias.
-
D.
hydroelectricStationCapacity
Indicates the maximum amount of electrical power that a hydroelectric station is capable of producing under specified conditions.
-
E.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa457fc8190824ca00254e962f9 |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adaed74ecc8190b74dc70ab59a3e1c |
completed | March 8, 2026, 5:16 p.m. |
Created at: March 8, 2026, 3:16 p.m.