Triple
T3454020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sardar Sarovar Dam |
E72857
|
entity |
| Predicate | installedCapacity_MW |
P11312
|
FINISHED |
| Object | 1450 |
—
|
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: 1450 | Statement: [Sardar Sarovar Dam, installedCapacity_MW, 1450]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: installedCapacity_MW Context triple: [Sardar Sarovar Dam, installedCapacity_MW, 1450]
-
A.
installedCapacity
chosen
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
-
B.
netElectricalCapacity_MWe
Indicates the relationship specifying an entity’s net electrical power generation capacity, measured in megawatts electric (MWe), after accounting for internal power consumption.
-
C.
turbineCapacity
Indicates the power-generating capacity or rated output of a turbine.
-
D.
annualCapacity
Indicates the maximum amount of output or throughput an entity can produce or handle within a one-year period.
-
E.
windFarmCapacity
Indicates the total power generation capacity of a wind farm, typically measured in units such as megawatts.
- 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_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. |
Created at: March 8, 2026, 3:16 p.m.