Triple
T4360141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edict of Toleration by Galerius |
E98641
|
entity |
| Predicate | religiousGroupMentioned |
P55765
|
FINISHED |
| Object | Christians |
—
|
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: Christians | Statement: [Edict of Toleration by Galerius, religiousGroupMentioned, Christians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousGroupMentioned Context triple: [Edict of Toleration by Galerius, religiousGroupMentioned, Christians]
-
A.
religiousTarget
Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
-
B.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
C.
religiousFoundation
Indicates that an entity was established, created, or founded by a religious organization, authority, or tradition.
-
D.
religiousName
Indicates that an entity has or is known by a name specifically associated with a religious role, identity, or context.
-
E.
religiousBranchOf
Indicates that one religion, denomination, or sect is a subdivision or offshoot of a larger parent religious tradition.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e3220881909dc9d02ab024abf5 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:16 p.m.