Triple
T28806996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salayea |
E727403
|
entity |
| Predicate | hasSecondaryReligionAtCountryLevel |
P26280
|
FINISHED |
| Object | Islam |
—
|
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: Islam | Statement: [Salayea, hasSecondaryReligionAtCountryLevel, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondaryReligionAtCountryLevel Context triple: [Salayea, hasSecondaryReligionAtCountryLevel, Islam]
-
A.
hasSecondaryReligion
chosen
Indicates that an entity practices, adheres to, or is associated with a secondary religion in addition to its primary religion.
-
B.
hasPrimaryReligionComplex
Indicates that an entity is primarily associated with, practices, or is characterized by a particular religion or religious complex.
-
C.
religionInCountry
Indicates that a particular religion is practiced, present, or recognized within a specified country.
-
D.
isMultiReligious
Indicates that an entity is associated with or practices multiple religions rather than adhering to just one.
-
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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
Created at: April 28, 2026, 6:29 a.m.