Triple
T34455401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المجادلة |
E884489
|
entity |
| Predicate | تشتمل على |
P1393
|
FINISHED |
| Object | أحكام الاستئناس في المجالس |
—
|
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: أحكام الاستئناس في المجالس | Statement: [المجادلة, تشتمل على, أحكام الاستئناس في المجالس]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تشتمل على Context triple: [المجادلة, تشتمل على, أحكام الاستئناس في المجالس]
-
A.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
B.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
C.
includesSee
Indicates that one entity’s scope, content, or experience contains or encompasses the act of seeing or visual perception involving another entity.
-
D.
includedWith
Indicates that one entity is provided or packaged together as part of another entity.
-
E.
issueIncludes
Indicates that an issue or problem encompasses, contains, or involves a specified element, component, or sub-issue as part of its scope.
- 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71976c49c8190943046a0ff8950cb |
completed | May 3, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.