Triple
T36406601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Церковь Святого Архангела Михаила |
E896763
|
entity |
| Predicate | имеет посвящение |
P24360
|
FINISHED |
| Object | архангел Михаил |
—
|
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: архангел Михаил | Statement: [Церковь Святого Архангела Михаила, имеет посвящение, архангел Михаил]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеет посвящение Context triple: [Церковь Святого Архангела Михаила, имеет посвящение, архангел Михаил]
-
A.
dedicatee
chosen
Indicates the person or entity to whom a work, such as a book, artwork, or performance, is formally dedicated.
-
B.
dedicationBy
Indicates that one entity formally dedicates, commits, or devotes another entity (such as a work, resource, or effort) to a particular person, purpose, or cause.
-
C.
inspiredDedicationOf
Indicates that one entity’s dedication, commitment, or devoted effort is motivated, sparked, or strengthened by another entity.
-
D.
dedicationType
Indicates the specific kind or category of dedication that characterizes the relationship or action between entities.
-
E.
usedAsDedicationFor
Indicates that something (such as a work, object, or act) is dedicated in honor of, or specifically intended for, 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.