Triple
T31304994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Щелкунчик |
E798312
|
entity |
| Predicate | количествоДействий |
P12050
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Щелкунчик, количествоДействий, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: количествоДействий Context triple: [Щелкунчик, количествоДействий, 2]
-
A.
numberOfCallsToAction
Indicates the quantity of distinct calls to action associated with or contained within an item, event, or interaction.
-
B.
movementCountDescription
Indicates the textual description or explanation associated with a specific count or number of movements.
-
C.
numberOfActs
chosen
Indicates the total count of discrete acts or actions associated with a given entity or event.
-
D.
странаДействия
Indicates a relationship where an action or event is associated with, or takes place in, a particular country.
-
E.
numberOfMovements
Indicates the total count of distinct movements or motion events associated with the given entity or context.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.