Triple
T32108810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dimasa people |
E820059
|
entity |
| Predicate | primaryReligionTrend |
P2986
|
FINISHED |
| Object | syncretic Hindu and indigenous practices |
—
|
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: syncretic Hindu and indigenous practices | Statement: [Dimasa people, primaryReligionTrend, syncretic Hindu and indigenous practices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryReligionTrend Context triple: [Dimasa people, primaryReligionTrend, syncretic Hindu and indigenous practices]
-
A.
religiousTrend
Indicates a pattern or direction of change over time in religious beliefs, practices, or affiliations among entities.
-
B.
laterReligionDominant
Indicates that a religion adopted or followed at a later time becomes the dominant or primary religion in the relevant context or entity.
-
C.
dominantReligion
chosen
Indicates the religion that holds primary or majority status within a given group, region, or entity.
-
D.
religiousDemographyChange
Indicates a change over time in the religious composition or affiliation distribution within a population or region.
-
E.
shareReligiousDemographics
Indicates that two entities have similar or identical distributions of religious affiliations within their populations.
- 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_69f3490209c881908ec0241476715f15 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:27 a.m.