Triple
T12792977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crocodile (West) and Marico Water Management Area |
E305814
|
entity |
| Predicate | hasWaterUseSector |
P68556
|
FINISHED |
| Object | urban 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: urban water supply | Statement: [Crocodile (West) and Marico Water Management Area, hasWaterUseSector, urban water supply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterUseSector Context triple: [Crocodile (West) and Marico Water Management Area, hasWaterUseSector, urban water supply]
-
A.
hasWaterUse
chosen
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
B.
hasWatershedUse
Indicates that a particular type of use, activity, or function is associated with or applied to a watershed.
-
C.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
D.
reservoirUse
Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
-
E.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6ca0288190aba01735b71a01da |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ba0688190973e4e7ec8d4a8e0 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.