Triple
T26931490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hub River |
E678235
|
entity |
| Predicate | isWaterSourceFor |
P4102
|
FINISHED |
| Object | Lasbela District |
—
|
NE NERFINISHED |
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: Lasbela District | Statement: [Hub River, isWaterSourceFor, Lasbela District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWaterSourceFor Context triple: [Hub River, isWaterSourceFor, Lasbela District]
-
A.
waterSource
chosen
Indicates that one entity serves as the source or provider of water for another entity.
-
B.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
C.
hasWaterResourceRole
Indicates that an entity participates in a water-related resource context with a specified functional role (e.g., source, user, manager, or regulator of water resources).
-
D.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
E.
waterSourceType
Indicates the kind or category of source from which water is obtained.
- 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_69eeeb4cac908190a45956c2993d1cc2 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f620497848819087881b4f82c7bc22 |
completed | May 2, 2026, 4:03 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 6:13 a.m.