Triple
T23549243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Religion in Oceania |
E577990
|
entity |
| Predicate | hasNotableCountryContext |
P838
|
FINISHED |
| Object | Religion in Australia |
—
|
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: Religion in Australia | Statement: [Religion in Oceania, hasNotableCountryContext, Religion in Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableCountryContext Context triple: [Religion in Oceania, hasNotableCountryContext, Religion in Australia]
-
A.
hasCountryContext
chosen
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
-
B.
hasNotableNation
Indicates that an entity is significantly associated with or recognized for a particular nation.
-
C.
requiresCountryContext
Indicates that understanding or applying the related information, rule, or action depends on the specific country or national context involved.
-
D.
hasCountryElement
Indicates that something includes, contains, or is composed of one or more country-related components or parts.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific 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_69e245fa93448190919cb04534560542 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1aecd60a881908c257d9ba67080c8 |
completed | April 29, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:11 p.m.