Triple
T24337588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نهر العاصي |
E613421
|
entity |
| Predicate | يوجد_عليه |
P13854
|
FINISHED |
| Object | سدود للري وتخزين المياه في سوريا |
—
|
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: سدود للري وتخزين المياه في سوريا | Statement: [نهر العاصي, يوجد_عليه, سدود للري وتخزين المياه في سوريا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يوجد_عليه Context triple: [نهر العاصي, يوجد_عليه, سدود للري وتخزين المياه في سوريا]
-
A.
has
chosen
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
B.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
-
C.
يدل_على
Indicates that something signifies, points to, or serves as evidence or indication of something else.
-
D.
hasKhaliOn
Indicates that one entity is wearing or has placed a khali (a specific garment or item) on another part of the body or object.
-
E.
heldAlong
Indicates that one entity is held or supported in a position that follows or runs parallel to the length or course of another entity.
- 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.