Triple
T19688038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anastasis |
E472762
|
entity |
| Predicate | isLiturgicallySignificantFor |
P85852
|
FINISHED |
| Object | Holy Week observances |
—
|
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: Holy Week observances | Statement: [Anastasis, isLiturgicallySignificantFor, Holy Week observances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLiturgicallySignificantFor Context triple: [Anastasis, isLiturgicallySignificantFor, Holy Week observances]
-
A.
hasLiturgicalImportance
chosen
Indicates that something holds recognized significance or special status within religious worship or liturgical practice.
-
B.
hasLiturgicalNature
Indicates that something possesses a liturgical character or function, typically relating to formal religious worship or rites.
-
C.
hasLiturgicalMention
Indicates that one entity is referenced or mentioned within the liturgical texts, practices, or rites associated with another entity.
-
D.
hasLiturgicalContext
Indicates that something is associated with, used in, or relevant to a formal religious or liturgical setting or practice.
-
E.
isPartOfLiturgicalUnit
Indicates that one element belongs to, and functions as a component within, a larger liturgical unit or structure.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420d39688190ad3a84dbffce4ffe |
completed | April 20, 2026, 3:11 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:45 p.m.