Triple
T12152833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalpasar project |
E289499
|
entity |
| Predicate | potentialBenefit |
P49949
|
FINISHED |
| Object | increase irrigation coverage in Saurashtra |
—
|
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: increase irrigation coverage in Saurashtra | Statement: [Kalpasar project, potentialBenefit, increase irrigation coverage in Saurashtra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialBenefit Context triple: [Kalpasar project, potentialBenefit, increase irrigation coverage in Saurashtra]
-
A.
expectedBenefit
chosen
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
B.
benefice
Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
-
C.
benefits
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
-
D.
believedBenefit
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
E.
primaryBenefit
Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.