Triple
T2030747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunan Abu Dawud |
E44509
|
entity |
| Predicate | methodologicalNote |
P17406
|
FINISHED |
| Object | compiler sometimes indicates weak narrations |
—
|
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: compiler sometimes indicates weak narrations | Statement: [Sunan Abu Dawud, methodologicalNote, compiler sometimes indicates weak narrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodologicalNote Context triple: [Sunan Abu Dawud, methodologicalNote, compiler sometimes indicates weak narrations]
-
A.
methodologyType
Indicates the specific kind or category of method or procedure used in carrying out an activity or study.
-
B.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
C.
interpretationMethod
Indicates the method, technique, or process used to interpret or derive meaning from something.
-
D.
notableMethod
Indicates that a particular method, technique, or approach is especially significant, recognized, or noteworthy in relation to the associated entity.
-
E.
editorialNote
chosen
Indicates that there is an accompanying editorial comment or clarification about the related content, typically added by an editor rather than the original author.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb915c9548190809d08c4d67466fb |
completed | March 7, 2026, 5:35 a.m. |
| PD | Predicate disambiguation | batch_69abb7a656248190ac2ced196b35bc6b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.