Triple
T30971985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyaukse irrigated region |
E789122
|
entity |
| Predicate | irrigationPurpose |
P170863
|
FINISHED |
| Object | mitigation of low and variable rainfall |
—
|
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: mitigation of low and variable rainfall | Statement: [Kyaukse irrigated region, irrigationPurpose, mitigation of low and variable rainfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: irrigationPurpose Context triple: [Kyaukse irrigated region, irrigationPurpose, mitigation of low and variable rainfall]
-
A.
usedForIrrigationIn
Indicates that something serves as a means or resource for irrigating land or crops in a specified location or context.
-
B.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
C.
typeOfIrrigation
Indicates the specific irrigation method or system used to supply water to a given area or crop.
-
D.
irrigates
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
-
E.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
- F. None of above. chosen
Provenance (4 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_69f224c4831c8190be53924ec25a150a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:55 p.m.