Triple
T25787376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Majmu' Sharh al-Muhadhdhab |
E649455
|
entity |
| Predicate | geographicalReception |
P106858
|
FINISHED |
| Object | widespread in the Muslim world |
—
|
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: widespread in the Muslim world | Statement: [Al-Majmu' Sharh al-Muhadhdhab, geographicalReception, widespread in the Muslim world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalReception Context triple: [Al-Majmu' Sharh al-Muhadhdhab, geographicalReception, widespread in the Muslim world]
-
A.
geographicReception
chosen
Indicates the geographic area or location where something (such as a work, message, or signal) is received, experienced, or has effect.
-
B.
geographicalUsage
Indicates that something is used, applied, or occurs within a particular geographic area or region.
-
C.
geographicCoverageType
Indicates the type or nature of the geographic area that something covers or applies to.
-
D.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
E.
geographicalRegionType
Indicates the specific kind or category of geographical region that an entity belongs to (e.g., continent, country, province, or city).
- 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 22, 2026, 5:56 a.m.