Triple
T14512460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الخَابُور |
E340430
|
entity |
| Predicate | يُستخدم_مياهه_في |
P44236
|
FINISHED |
| Object | الري |
—
|
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: الري | Statement: [الخَابُور, يُستخدم_مياهه_في, الري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُستخدم_مياهه_في Context triple: [الخَابُور, يُستخدم_مياهه_في, الري]
-
A.
waterbodyUsedFor
chosen
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
B.
usesSurfaceWater
Indicates that one entity relies on or draws from surface water sources (such as rivers, lakes, or reservoirs) for its activities or needs.
-
C.
usedWaterway
Indicates that one entity traveled, transported goods, or otherwise moved via a particular waterway as the route or medium of use.
-
D.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
E.
reservoirUse
Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.