Triple
T28513716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roseires |
E721558
|
entity |
| Predicate | irrigationInfrastructureNearby |
P31801
|
FINISHED |
| Object | Roseires Dam irrigation schemes |
—
|
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: Roseires Dam irrigation schemes | Statement: [Roseires, irrigationInfrastructureNearby, Roseires Dam irrigation schemes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: irrigationInfrastructureNearby Context triple: [Roseires, irrigationInfrastructureNearby, Roseires Dam irrigation schemes]
-
A.
nearIrrigationProject
chosen
Indicates that one entity is located close to or in the vicinity of an irrigation project.
-
B.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
C.
hasNearbyWaterInfrastructure
Indicates that a location or entity is situated close to water-related infrastructure such as pipes, treatment facilities, or distribution systems.
-
D.
hasIrrigationSchemes
Indicates that an entity is associated with, implements, or contains one or more irrigation schemes.
-
E.
hasIrrigationDependence
Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f77c86c8190bb05cffae7c17a00 |
completed | May 2, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:15 a.m.