Triple
T2906338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syro-Malankara Catholic Church |
E62772
|
entity |
| Predicate | preservesOwnLiturgy |
P13039
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Syro-Malankara Catholic Church, preservesOwnLiturgy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preservesOwnLiturgy Context triple: [Syro-Malankara Catholic Church, preservesOwnLiturgy, true]
-
A.
usesAlsoLiturgy
Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
-
B.
hasSecondaryLiturgy
Indicates that an entity is associated with an additional, subordinate liturgical service or rite beyond its primary liturgy.
-
C.
hasPrimaryLiturgicalForm
chosen
Indicates that an entity is associated with its main or officially recognized liturgical form used in worship or religious practice.
-
D.
hasLiturgicalExpression
Indicates that one entity expresses, embodies, or is manifested through the liturgical practices, rites, or worship forms of another entity.
-
E.
hasLiturgicalStructure
Indicates that something possesses an established form or order of worship, ritual, or liturgical arrangement.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0cee7988190875665145c3cd605 |
completed | March 7, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69abdd19bac881908f047d616aca8438 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.