Triple
T19339754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emirate of Sicily |
E483719
|
entity |
| Predicate | introducedIrrigationTechnique |
P135477
|
FINISHED |
| Object | qanat-style irrigation |
—
|
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: qanat-style irrigation | Statement: [Emirate of Sicily, introducedIrrigationTechnique, qanat-style irrigation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedIrrigationTechnique Context triple: [Emirate of Sicily, introducedIrrigationTechnique, qanat-style irrigation]
-
A.
typeOfIrrigation
Indicates the specific irrigation method or system used to supply water to a given area or crop.
-
B.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
C.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
D.
introducedCrop
Indicates that an entity brought a crop species into a new area or context where it was not previously present or cultivated.
-
E.
irrigates
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e618560f0081908565f802ea1e3cc8 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.