Triple
T3736843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rohingya |
E79605
|
entity |
| Predicate | majorityReligionOfCountryOfOrigin |
P2986
|
FINISHED |
| Object | Theravada Buddhism in Myanmar |
—
|
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: Theravada Buddhism in Myanmar | Statement: [Rohingya, majorityReligionOfCountryOfOrigin, Theravada Buddhism in Myanmar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorityReligionOfCountryOfOrigin Context triple: [Rohingya, majorityReligionOfCountryOfOrigin, Theravada Buddhism in Myanmar]
-
A.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
B.
declaredReligion
Indicates that an entity has formally stated or reported a particular religious affiliation.
-
C.
dominantReligionLegacy
Indicates that a historically dominant religion has left a lasting influence or heritage on a society, culture, or region.
-
D.
countryOfMainRitual
Indicates the country in which a given ritual is primarily performed or holds its main significance.
-
E.
hasReligiousOrigin
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc04746588190b0dc535638f23546 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.