Triple
T36406642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Церковь Святого Архангела Михаила |
E896763
|
entity |
| Predicate | связана с учением |
P592
|
FINISHED |
| Object | православное богословие |
—
|
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: православное богословие | Statement: [Церковь Святого Архангела Михаила, связана с учением, православное богословие]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: связана с учением Context triple: [Церковь Святого Архангела Михаила, связана с учением, православное богословие]
-
A.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
B.
associatedWithDiscipline
chosen
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
-
C.
associatedCourse
Indicates that one entity is linked or connected to a particular course in a relevant or contextual way.
-
D.
associatedWithSchool
Indicates a relationship where an entity has a connection or affiliation with a particular school, such as attendance, employment, or partnership.
-
E.
earntBy
Indicates that something (such as money, points, or a reward) is obtained as a result of the actions, work, or performance of a particular 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.