Triple
T38173088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coração de Maria |
E1000131
|
entity |
| Predicate | hasMajorDenominationContext |
P19942
|
FINISHED |
| Object | predominantly Roman Catholic |
—
|
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: predominantly Roman Catholic | Statement: [Coração de Maria, hasMajorDenominationContext, predominantly Roman Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorDenominationContext Context triple: [Coração de Maria, hasMajorDenominationContext, predominantly Roman Catholic]
-
A.
hasDenominationRole
Indicates that an entity holds or is assigned a specific role or function within a religious denomination or faith organization.
-
B.
denominationContext
chosen
Indicates the contextual or situational framework within which a particular denomination, classification, or named unit is defined or interpreted.
-
C.
isLargestDenominationIn
Indicates that an entity represents the highest-value denomination within a specified monetary system, set, or context.
-
D.
hasBanknotesInPrimaryUnit
Indicates that an entity’s banknotes are denominated in the primary monetary unit of its currency system.
-
E.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:29 p.m.