Triple
T26159664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cretan Revolt of 1878 |
E660071
|
entity |
| Predicate | hasReligionOfMainInsurgents |
P113263
|
FINISHED |
| Object | Eastern Orthodox Christianity |
—
|
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: Eastern Orthodox Christianity | Statement: [Cretan Revolt of 1878, hasReligionOfMainInsurgents, Eastern Orthodox Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReligionOfMainInsurgents Context triple: [Cretan Revolt of 1878, hasReligionOfMainInsurgents, Eastern Orthodox Christianity]
-
A.
hasReligionOfBelligerents
Indicates that the belligerent parties in a conflict are associated with a particular religion or religious affiliation.
-
B.
religionOfRebels
chosen
Indicates the religious affiliation or belief system followed by the rebels.
-
C.
religionOfPerpetrators
Indicates the religious affiliation or belief system associated with the individuals who carried out a particular act or offense.
-
D.
religionOfDefenders
Indicates the religious affiliation practiced or associated with the defenders in a given context.
-
E.
isMajorReligionIn
Indicates that a religion is one of the primary or most widely practiced religions within a specified region or country.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: April 26, 2026, 8:29 p.m.