Triple
T10190929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Victory |
E238030
|
entity |
| Predicate | scriptureSectionType |
P27372
|
FINISHED |
| Object | Medinan surah |
—
|
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: Medinan surah | Statement: [The Victory, scriptureSectionType, Medinan surah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptureSectionType Context triple: [The Victory, scriptureSectionType, Medinan surah]
-
A.
scripturalSection
Indicates a relationship where one text or passage is a specific section or subdivision within a larger scriptural work.
-
B.
scriptureType
Indicates the classification or category of a scripture in relation to its type or genre.
-
C.
scriptureFor
Indicates that one entity serves as a scriptural or authoritative religious text for another entity (such as a person, group, or belief system).
-
D.
sectionType
chosen
Indicates the specific kind or category of section that an entity belongs to or represents.
-
E.
usesScriptureType
Indicates that one entity employs or is based on a particular type or classification of scripture.
- 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7eb1148190a2d175163685e233 |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
Created at: March 30, 2026, 9:13 p.m.