Triple
T26006487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Света Неделя |
E646773
|
entity |
| Predicate | местоположение |
P159479
|
FINISHED |
| Object | България |
—
|
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: България | Statement: [Света Неделя, местоположение, България]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: местоположение Context triple: [Света Неделя, местоположение, България]
-
A.
countryLocated
Indicates that a country is geographically situated within or associated with a specific larger region, territory, or political entity.
-
B.
luogo
chosen
Indicates that something is located, occurs, or exists in a particular place or location.
-
C.
countryLocatedIn
Indicates that a country is geographically or politically situated within a specified larger region, territory, or entity.
-
D.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6057a92fc81908a29ab4a8ff9f7d8 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9 a.m.