Triple
T9461470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيحون |
E228154
|
entity |
| Predicate | مياهه |
P1778
|
FINISHED |
| Object | تتأثر بمشاريع الري الكبرى في آسيا الوسطى |
—
|
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: تتأثر بمشاريع الري الكبرى في آسيا الوسطى | Statement: [سيحون, مياهه, تتأثر بمشاريع الري الكبرى في آسيا الوسطى]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مياهه Context triple: [سيحون, مياهه, تتأثر بمشاريع الري الكبرى في آسيا الوسطى]
-
A.
bodyOfWater
chosen
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
B.
seaOf
Indicates a relationship where one entity is metaphorically or literally surrounded or filled by another like a vast sea, emphasizing overwhelming abundance or expansiveness.
-
C.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
-
D.
waterbodyUsedFor
Indicates that a particular water body is utilized for a specific purpose, activity, or function.
-
E.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
- 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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fcc8b1881908aa6ee13ab195330 |
completed | April 1, 2026, 8:27 p.m. |
| PD | Predicate disambiguation | batch_69cca55caaa8819089c5138e014892d3 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:52 p.m.