Triple
T29197929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maronite Divine Liturgy |
E740179
|
entity |
| Predicate | usesLectionary |
P5456
|
FINISHED |
| Object | Maronite lectionary |
—
|
NE NERFINISHED |
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: Maronite lectionary | Statement: [Maronite Divine Liturgy, usesLectionary, Maronite lectionary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLectionary Context triple: [Maronite Divine Liturgy, usesLectionary, Maronite lectionary]
-
A.
usesLiturgicalCalendar
Indicates that an entity follows or organizes its religious observances according to a formal liturgical calendar.
-
B.
hasLiturgicalReading
chosen
Indicates that a religious service, observance, or liturgical event includes or is associated with a specific prescribed reading from scripture or other sacred text.
-
C.
isMaterLectionis
Indicates that a letter functions as a mater lectionis, i.e., it represents a vowel sound rather than serving as a consonant.
-
D.
usesAlsoLiturgy
Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
-
E.
liturgicalText
Indicates that one entity is a liturgical or ritual text used in the religious or ceremonial practices 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6a28c7c148190bfc980aad9f678ca |
completed | May 3, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69f69fe1e3c88190830bb2e9f407357e |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 28, 2026, 12:05 p.m.