Triple
T30896525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safavid Sufi order |
E787035
|
entity |
| Predicate | laterDoctrinalAffiliation |
P114481
|
FINISHED |
| Object | Twelver Shi'ism |
—
|
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: Twelver Shi'ism | Statement: [Safavid Sufi order, laterDoctrinalAffiliation, Twelver Shi'ism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterDoctrinalAffiliation Context triple: [Safavid Sufi order, laterDoctrinalAffiliation, Twelver Shi'ism]
-
A.
religiousAffiliationLater
chosen
Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
-
B.
laterReligiousJurisdiction
Indicates that one entity subsequently became the religious authority or jurisdiction over another entity at a later time.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
mayBelongToDenomination
Indicates that an entity is possibly, but not certainly, affiliated with or a member of a particular denomination.
-
E.
hasDenominationalRole
Indicates that an entity holds or fulfills a specific role, office, or function within a religious denomination or faith organization.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff16775a9881909d26dbc1f0ef3e1c |
completed | May 9, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_69ff158e61708190a1c581d0d306cfce |
completed | May 9, 2026, 11:07 a.m. |
Created at: April 29, 2026, 8:49 p.m.