Triple
T17941229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakʿa-i Hayriyye |
E448591
|
entity |
| Predicate | religiousLegitimation |
P129811
|
FINISHED |
| Object | fatwas supporting Mahmud II |
—
|
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: fatwas supporting Mahmud II | Statement: [Vakʿa-i Hayriyye, religiousLegitimation, fatwas supporting Mahmud II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousLegitimation Context triple: [Vakʿa-i Hayriyye, religiousLegitimation, fatwas supporting Mahmud II]
-
A.
religiousClaim
Indicates that an entity asserts, expresses, or is associated with a statement or belief grounded in religion or spiritual doctrine.
-
B.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
C.
religiousCanon
Indicates that something is formally recognized as part of an established body of authoritative religious texts or doctrine.
-
D.
religiousTopicAddressed
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
-
E.
religiousLawView
Indicates a person's stance, interpretation, or opinion regarding a particular religious law or set of religious legal principles.
- F. None of above. chosen
Provenance (4 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad95f4608190b1ebb45944218f07 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.