Triple
T5668115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macedonian Orthodox Church |
E124905
|
entity |
| Predicate | primaryLanguageOfFaithful |
P1252
|
FINISHED |
| Object | Macedonian |
—
|
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: Macedonian | Statement: [Macedonian Orthodox Church, primaryLanguageOfFaithful, Macedonian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfFaithful Context triple: [Macedonian Orthodox Church, primaryLanguageOfFaithful, Macedonian]
-
A.
primaryCountryOfFaithful
Indicates the main country with which a group of faithful or religious adherents is primarily associated.
-
B.
languageOfGospelTraditionally
Indicates the language in which a particular Gospel is traditionally believed or held to have been written or transmitted.
-
C.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
D.
hasLanguageOfScripture
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
E.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
- 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_69c00828906881908966f270b8f130cf |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:43 p.m.