Triple
T33142361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نهر جيحون |
E848189
|
entity |
| Predicate | المجرى_العام |
P86882
|
FINISHED |
| Object | من الشرق إلى الغرب |
—
|
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: من الشرق إلى الغرب | Statement: [نهر جيحون, المجرى_العام, من الشرق إلى الغرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المجرى_العام Context triple: [نهر جيحون, المجرى_العام, من الشرق إلى الغرب]
-
A.
isMajorWatercourseOf
Indicates that a watercourse is a primary or significant river or stream associated with, or flowing through, a particular geographic area or feature.
-
B.
raceRiver
Indicates that an entity participates in a race that takes place on or along a river.
-
C.
mouthOfTheWatercourse
Indicates the location where a watercourse ends and flows into a larger body of water.
-
D.
isWatercourseOf
chosen
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
-
E.
runOfTheRiver
Indicates a relationship where a hydroelectric facility operates using the natural flow and elevation drop of a river without significant water storage or regulation by a large reservoir.
- 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_69f3495961d88190b16ea542c2c5f825 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:28 a.m.