Triple
T28415150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakhchisarai Historical and Cultural Reserve |
E719781
|
entity |
| Predicate | mainLanguageOfExhibits |
P91455
|
FINISHED |
| Object | Crimean Tatar |
—
|
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: Crimean Tatar | Statement: [Bakhchisarai Historical and Cultural Reserve, mainLanguageOfExhibits, Crimean Tatar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLanguageOfExhibits Context triple: [Bakhchisarai Historical and Cultural Reserve, mainLanguageOfExhibits, Crimean Tatar]
-
A.
hasLanguageOfExhibitions
chosen
Indicates that an entity uses a specified language for its exhibitions or exhibition-related content.
-
B.
presentedInLanguage
Indicates that something (such as content, information, or a work) is expressed or made available using a particular language.
-
C.
hasExhibitsFrom
Indicates a relationship where one entity (typically a venue or collection) includes or displays exhibits originating from another entity (such as an artist, institution, or location).
-
D.
languageOfVenue
Indicates the language primarily used or officially designated for communication at a given venue.
-
E.
hasPrimaryLanguageOfVisitors
Indicates that an entity is associated with the main language typically spoken or used by its visitors.
- 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_69eff6f0f37c8190b37bc6fab08a9449 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 1:29 a.m.