Triple
T24736261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Partai Bulan Bintang |
E618425
|
entity |
| Predicate | religionOrEthnicityBase |
P20158
|
FINISHED |
| Object | Muslim |
—
|
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: Muslim | Statement: [Partai Bulan Bintang, religionOrEthnicityBase, Muslim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religionOrEthnicityBase Context triple: [Partai Bulan Bintang, religionOrEthnicityBase, Muslim]
-
A.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
-
B.
religiousBackgroundOfBase
chosen
Indicates the religious background or affiliation associated with a given base or primary entity.
-
C.
ethnicGroupBase
Indicates that one entity serves as the primary or foundational ethnic group from which another entity is derived, associated, or defined.
-
D.
religionSignificantMinorityRegion
Indicates that a particular religion constitutes a significant minority presence within a specified geographic region.
-
E.
ethnicReligionVariant
Indicates that one religion is a variant, branch, or localized form of another religion associated with a particular ethnic or cultural group.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:03 a.m.