Triple
T36427458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الحجرات |
E897340
|
entity |
| Predicate | تتضمن أحكاماً |
P79502
|
FINISHED |
| Object | أدب التعامل مع النبي محمد قولاً وفعلاً |
—
|
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: أدب التعامل مع النبي محمد قولاً وفعلاً | Statement: [سورة الحجرات, تتضمن أحكاماً, أدب التعامل مع النبي محمد قولاً وفعلاً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تتضمن أحكاماً Context triple: [سورة الحجرات, تتضمن أحكاماً, أدب التعامل مع النبي محمد قولاً وفعلاً]
-
A.
containsJudgmentIn
Indicates that one entity includes or embeds a specific judgment or decision within it.
-
B.
punishmentIncludes
Indicates that a specified punishment encompasses or contains another specified punitive measure as one of its components.
-
C.
sentencesIncluded
chosen
Indicates that one or more sentences are contained within, or form part of, a larger text, document, or collection.
-
D.
judgmentInvolves
Indicates that a particular judgment, decision, or legal ruling includes, concerns, or pertains to a specified entity or matter.
-
E.
includesClause
Indicates that one entity (typically a document, contract, or statement) contains or incorporates a specific clause as part of its content.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.