Triple
T24209468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabians |
E600489
|
entity |
| Predicate | religiousTextStatus |
P155211
|
FINISHED |
| Object | no securely identified Sabian scripture preserved |
—
|
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: no securely identified Sabian scripture preserved | Statement: [Sabians, religiousTextStatus, no securely identified Sabian scripture preserved]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTextStatus Context triple: [Sabians, religiousTextStatus, no securely identified Sabian scripture preserved]
-
A.
religiousTextType
Indicates that one entity is a religious text and specifies the type or category of that religious text in relation to the other entity.
-
B.
religiousAuthorityStatus
Indicates the role or level of recognized authority an entity holds within a religious or spiritual hierarchy.
-
C.
religiousTextOf
Indicates that one entity is a religious text that is sacred to, foundational for, or primarily associated with another entity (such as a religion, denomination, or faith community).
-
D.
religiousTopicAddressed
Indicates that a subject deals with, discusses, or focuses on a religious theme, issue, or question.
-
E.
religiousTextCategory
Indicates that a religious text belongs to or is classified under a particular category or type.
- 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_69e2953344c48190875730c7d52112a0 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f282020a5881909df47f766c3ee7af |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:53 p.m.