Triple
T35536485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Library of the Bulgarian Academy of Sciences |
E1026943
|
entity |
| Predicate | catalogingLanguage |
P87558
|
FINISHED |
| Object | Bulgarian |
—
|
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: Bulgarian | Statement: [Central Library of the Bulgarian Academy of Sciences, catalogingLanguage, Bulgarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogingLanguage Context triple: [Central Library of the Bulgarian Academy of Sciences, catalogingLanguage, Bulgarian]
-
A.
primaryLanguageOfCataloguing
chosen
Indicates the language primarily used to create or record the entries in a catalog.
-
B.
cataloguingStandard
Indicates the cataloguing rules or standard under which an item’s descriptive and access information has been created or recorded.
-
C.
languageOfCatalogueTitle
Indicates the language in which a catalogue’s title is expressed.
-
D.
labelMarketingLanguage
Indicates that one entity is designated as the marketing-oriented label or phrasing used to promote or describe another entity.
-
E.
languageCategory
Indicates the classification relationship where a language is assigned to a particular linguistic or functional category.
- 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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:04 p.m.