Triple
T10337016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mutawatir hadith |
E243033
|
entity |
| Predicate | isAcceptedBy |
P24855
|
FINISHED |
| Object | all major Sunni legal schools |
—
|
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: all major Sunni legal schools | Statement: [mutawatir hadith, isAcceptedBy, all major Sunni legal schools]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAcceptedBy Context triple: [mutawatir hadith, isAcceptedBy, all major Sunni legal schools]
-
A.
acceptedIn
chosen
Indicates that something has been formally received, approved, or admitted into a particular context, group, or system.
-
B.
acceptedAt
Indicates the time or event at which something (such as a request, submission, or offer) is formally accepted.
-
C.
areRecognizedBy
Indicates that one entity acknowledges, identifies, or accepts another entity as valid, known, or legitimate.
-
D.
isSuitableFor
Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
-
E.
canPass
Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:54 a.m.