Triple
T22701370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taman Gili |
E561331
|
entity |
| Predicate | isPartOfReligionContext |
P23614
|
FINISHED |
| Object | Hinduism in Bali |
—
|
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: Hinduism in Bali | Statement: [Taman Gili, isPartOfReligionContext, Hinduism in Bali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfReligionContext Context triple: [Taman Gili, isPartOfReligionContext, Hinduism in Bali]
-
A.
originReligionContext
Indicates the religious background or setting from which something or someone originates or is derived.
-
B.
isUsedByReligion
Indicates that something (such as an object, practice, text, or symbol) is employed or utilized within the context of a particular religion.
-
C.
religiousCulturalContext
Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
-
D.
typicalReligionContext
Indicates the usual or most common religious setting, tradition, or affiliation associated with an entity or situation.
-
E.
partOfReligiousTradition
chosen
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cb2f548190bfc6f050be7c795a |
completed | April 29, 2026, 3:19 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:15 p.m.