Triple
T19321979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Rite |
E483245
|
entity |
| Predicate | usesLiturgicalYearStructure |
P9168
|
FINISHED |
| Object | six main seasons |
—
|
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: six main seasons | Statement: [Maronite Rite, usesLiturgicalYearStructure, six main seasons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLiturgicalYearStructure Context triple: [Maronite Rite, usesLiturgicalYearStructure, six main seasons]
-
A.
usesLiturgicalCalendar
chosen
Indicates that an entity follows or organizes its religious observances according to a formal liturgical calendar.
-
B.
hasLiturgicalStructure
Indicates that something possesses an established form or order of worship, ritual, or liturgical arrangement.
-
C.
hasLiturgicalPeriod
Indicates that something is associated with, occurs during, or is assigned to a specific liturgical period within a religious calendar.
-
D.
hasLiturgicalContext
Indicates that something is associated with, used in, or relevant to a formal religious or liturgical setting or practice.
-
E.
hasLiturgicalCycle
Indicates that one entity follows, observes, or is structured according to a particular liturgical cycle associated with another entity.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8948948190b76a384041333509 |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.