Triple
T24010781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirpur |
E594523
|
entity |
| Predicate | waterConservationModel |
P154854
|
FINISHED |
| Object | Shirpur pattern |
—
|
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: Shirpur pattern | Statement: [Shirpur, waterConservationModel, Shirpur pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterConservationModel Context triple: [Shirpur, waterConservationModel, Shirpur pattern]
-
A.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
B.
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.
-
C.
waterRenewalMethod
Indicates the method or process by which water is replenished, refreshed, or renewed in a given context.
-
D.
waterFunction
Indicates that one entity serves a particular role, purpose, or function in relation to water (e.g., how it uses, manages, affects, or interacts with water).
-
E.
waterPersistence
Indicates how long water remains present or effective in a given context before dissipating, evaporating, or being removed.
- 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_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. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:41 p.m.