Triple
T32531037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta Sin |
E831452
|
entity |
| Predicate | appearsInScriptureSection |
P37110
|
FINISHED |
| Object | Meccan surah (An-Naml) |
—
|
NE NERFINISHED |
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: Meccan surah (An-Naml) | Statement: [Ta Sin, appearsInScriptureSection, Meccan surah (An-Naml)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInScriptureSection Context triple: [Ta Sin, appearsInScriptureSection, Meccan surah (An-Naml)]
-
A.
positionInScripture
Indicates the specific location or ordering of a passage, verse, or element within a scriptural text.
-
B.
scripturalSection
chosen
Indicates a relationship where one text or passage is a specific section or subdivision within a larger scriptural work.
-
C.
hasScripture
Indicates that one entity possesses, is associated with, or is defined by a particular scripture or set of scriptural texts.
-
D.
scripturalReference
Indicates that one entity cites, alludes to, or is based on a specific passage or portion of a scriptural text found in another entity.
-
E.
appearsInPropheticBook
Indicates that an entity is mentioned, featured, or described within a prophetic book.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: May 1, 2026, 1:01 a.m.