Triple
T22526848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | دعاء الكروان |
E556926
|
entity |
| Predicate | حصل على |
P127402
|
FINISHED |
| Object | تقدير نقدي واسع في السينما العربية |
—
|
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: تقدير نقدي واسع في السينما العربية | Statement: [دعاء الكروان, حصل على, تقدير نقدي واسع في السينما العربية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حصل على Context triple: [دعاء الكروان, حصل على, تقدير نقدي واسع في السينما العربية]
-
A.
achieved
Indicates that an entity successfully reached, obtained, or accomplished a specified goal, result, or state.
-
B.
obtains
Indicates that one entity comes into possession or control of another entity, typically through some action or process.
-
C.
gained
chosen
Indicates that one entity has come to possess, acquire, or increase in something (such as an object, quality, or amount) relative to another point or state.
-
D.
hasReach
Indicates that one entity is able to extend its influence, access, or physical span to another entity or area.
-
E.
acquiredWith
Indicates that one entity was obtained, purchased, or gained together with or by means 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.