Triple
T33758951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Water, Light & Power |
E865054
|
entity |
| Predicate | waterRole |
P125469
|
FINISHED |
| Object | drinking water supply |
—
|
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: drinking water supply | Statement: [City Water, Light & Power, waterRole, drinking water supply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterRole Context triple: [City Water, Light & Power, waterRole, drinking water supply]
-
A.
waterInfrastructureRole
Indicates the functional role or involvement an entity has in the provision, management, or operation of water infrastructure systems.
-
B.
waterFunction
chosen
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).
-
C.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
D.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
E.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- 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_69f3498d3b748190aa3c4006c1f32f38 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 1, 2026, 1:45 a.m.