Triple
T24337564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نهر العاصي |
E613421
|
entity |
| Predicate | يتجه_بعكس_اتجاه_الأنهار_الأخرى_في_بلاد_الشام |
P75396
|
FINISHED |
| Object | صحيح |
—
|
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: صحيح | Statement: [نهر العاصي, يتجه_بعكس_اتجاه_الأنهار_الأخرى_في_بلاد_الشام, صحيح]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يتجه_بعكس_اتجاه_الأنهار_الأخرى_في_بلاد_الشام Context triple: [نهر العاصي, يتجه_بعكس_اتجاه_الأنهار_الأخرى_في_بلاد_الشام, صحيح]
-
A.
drainageBasinOnOtherSide
Indicates that the drainage basin associated with one entity lies on the opposite side of a dividing feature (such as a watershed or boundary) from the drainage basin associated with another entity.
-
B.
waterwayDirection
chosen
Indicates the directional flow or orientation of a waterway relative to a reference point or path.
-
C.
hasRiverCounterpart
Indicates that one entity has a corresponding or analogous counterpart in the context of a river.
-
D.
flowsNorthwestwards
Indicates that something moves or extends in a northwestward direction from its point of origin.
-
E.
isWatercourseOf
Indicates that a watercourse (such as a river or stream) flows through, belongs to, or is geographically associated with a particular area or feature.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f293212a0881908da028e81d26247d |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.