Triple
T31399160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيح داريا |
E800944
|
entity |
| Predicate | حوض_تصريف |
P81003
|
FINISHED |
| Object | حوض بحر آرال |
—
|
NE NERFINISHED |
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: حوض بحر آرال | Statement: [سيح داريا, حوض_تصريف, حوض بحر آرال]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حوض_تصريف Context triple: [سيح داريا, حوض_تصريف, حوض بحر آرال]
-
A.
drainageOutlet
chosen
Indicates that one entity serves as the point where fluids or runoff are discharged or exit from another entity.
-
B.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
C.
downstreamReservoir
Indicates that one reservoir is located downstream of, and receives water flow from, another reservoir in a connected water system.
-
D.
drainageBetween
Indicates that one area or feature serves as a drainage path or channel between two other areas or features, allowing water or runoff to flow from one to the other.
-
E.
outflowWatercourse
Indicates the watercourse (such as a river, stream, or channel) into which a body of water flows out.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.