Triple
T9620631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narmada Water Disputes Tribunal Award |
E232331
|
entity |
| Predicate | impactOnProject |
P25003
|
FINISHED |
| Object | enabled construction of Sardar Sarovar Dam |
—
|
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: enabled construction of Sardar Sarovar Dam | Statement: [Narmada Water Disputes Tribunal Award, impactOnProject, enabled construction of Sardar Sarovar Dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnProject Context triple: [Narmada Water Disputes Tribunal Award, impactOnProject, enabled construction of Sardar Sarovar Dam]
-
A.
impactIfCompleted
Indicates the effect or consequence that will occur if the referenced task or action is fully completed.
-
B.
affectedByProject
chosen
Indicates that an entity experiences an impact, change, or influence as a result of a specific project.
-
C.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
D.
impactOnPerformance
Indicates that one entity has an effect, influence, or consequence on the performance level or effectiveness of another entity.
-
E.
impactCategory
Indicates the type or domain of effect that one entity or action has on another, classifying the nature of its impact.
- 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_69ca84867bb88190b4b57dd5a56d5691 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9ad3a8d88190b1414aa676d82f36 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5aa1d2c8190a287bf1cf4a3037e |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:09 p.m.