Triple
T18395527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbian Orthodox Cathedral (Zrenjanin) |
E449856
|
entity |
| Predicate | mainLanguageOfServices |
P1252
|
FINISHED |
| Object | Serbian |
—
|
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: Serbian | Statement: [Serbian Orthodox Cathedral (Zrenjanin), mainLanguageOfServices, Serbian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainLanguageOfServices Context triple: [Serbian Orthodox Cathedral (Zrenjanin), mainLanguageOfServices, Serbian]
-
A.
currentLanguageOfServices
Indicates that a specified language is the one presently used to provide or deliver certain services.
-
B.
languageOfEarlyServices
Indicates the language in which early services (such as initial or preliminary sessions, programs, or interventions) are conducted.
-
C.
primaryLanguageType
Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
-
D.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
E.
hasPrimaryLanguageOfOperations
Indicates that an entity conducts its main activities or operations primarily using a specified language.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51846bb4c8190990f42a792a78ee0 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.