Triple
T7303170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army of Republika Srpska |
E167907
|
entity |
| Predicate | usedReligionInMobilization |
P18139
|
FINISHED |
| Object | Serbian Orthodox Christianity |
—
|
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: Serbian Orthodox Christianity | Statement: [Army of Republika Srpska, usedReligionInMobilization, Serbian Orthodox Christianity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedReligionInMobilization Context triple: [Army of Republika Srpska, usedReligionInMobilization, Serbian Orthodox Christianity]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
involvedReligion
Indicates that an entity is associated with, participates in, or is characterized by a particular religion.
-
C.
religionOrBelief
Indicates that one entity holds, practices, or is associated with a particular religion, faith, or belief system.
-
D.
subjectReligion
Indicates that the subject is associated with, practices, or adheres to a particular religion.
-
E.
religiousMotivation
chosen
Indicates that an action, decision, or relationship is driven or significantly influenced by religious beliefs, values, or obligations.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb2261c8190ae9095c8e110b528 |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:01 p.m.