Triple
T9955638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Андреевский скит |
E195439
|
entity |
| Predicate | тип |
P91352
|
FINISHED |
| Object | мужской монастырский скит |
—
|
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: мужской монастырский скит | Statement: [Андреевский скит, тип, мужской монастырский скит]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: тип Context triple: [Андреевский скит, тип, мужской монастырский скит]
-
A.
filmType
Indicates the specific category or genre that a film belongs to.
-
B.
titleType
Indicates the specific category or kind of title associated with an entity (e.g., whether it is a main title, alternative title, working title, etc.).
-
C.
theoryType
Indicates the classification relationship that specifies what type or category of theory an entity belongs to.
-
D.
filmTypeContext
Indicates the contextual relationship between a film and its type or category within a specific classification or usage setting.
-
E.
tagType
Indicates the classification or category assigned to a tag, specifying what kind of tag it is or how it should be interpreted.
- F. None of above. chosen
Provenance (4 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_69ca82eaaa008190a54fa1a9f954b9ad |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb69631d08190ab2b1d1c22d46da7 |
completed | April 2, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cd1d97c44081908730071269f07712 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:46 p.m.