Triple
T24010785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirpur |
E594523
|
entity |
| Predicate | waterConservationImpact |
P44632
|
FINISHED |
| Object | groundwater recharge |
—
|
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: groundwater recharge | Statement: [Shirpur, waterConservationImpact, groundwater recharge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterConservationImpact Context triple: [Shirpur, waterConservationImpact, groundwater recharge]
-
A.
conservationImpact
chosen
Indicates the effect that an action, policy, or entity has on the preservation, protection, or restoration of natural ecosystems and biodiversity.
-
B.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
C.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
D.
waterManagementDependence
Indicates that one entity’s ability to manage water resources (such as supply, quality, or distribution) relies on or is significantly influenced by another entity.
-
E.
impactOfDrainage
Indicates the effect or consequences that a drainage system or drainage activity has on a particular target or environment.
- 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_69e288bc8f608190ac4af29f0bd1c744 |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d59c762481909cf08491a39aec1b |
completed | April 29, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:41 p.m.