Triple
T38332443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nüümü |
E1037857
|
entity |
| Predicate | traditionalIrrigationPractice |
P4104
|
FINISHED |
| Object | diversion of creek water to fields |
—
|
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: diversion of creek water to fields | Statement: [Nüümü, traditionalIrrigationPractice, diversion of creek water to fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalIrrigationPractice Context triple: [Nüümü, traditionalIrrigationPractice, diversion of creek water to fields]
-
A.
typeOfIrrigation
Indicates the specific irrigation method or system used to supply water to a given area or crop.
-
B.
agriculturalPractice
chosen
Indicates a relationship where an entity engages in, applies, or is associated with a specific method or technique of agriculture or farming.
-
C.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
D.
hasIrrigatedAgriculture
Indicates that an entity engages in or possesses agricultural activities that are supported or sustained by artificial irrigation systems.
-
E.
usedForIrrigationIn
Indicates that something serves as a means or resource for irrigating land or crops in a specified location or context.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:30 p.m.