Triple
T26006513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Света Неделя |
E646773
|
entity |
| Predicate | разположениеДо |
P96712
|
FINISHED |
| Object | булевард „Витоша“ |
—
|
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: булевард „Витоша“ | Statement: [Света Неделя, разположениеДо, булевард „Витоша“]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: разположениеДо Context triple: [Света Неделя, разположениеДо, булевард „Витоша“]
-
A.
расположенаНа
Indicates that one entity is located on the surface or area of another entity.
-
B.
находитсяК
chosen
Indicates that one entity is located at, in, or near another entity.
-
C.
locates
Indicates that one entity determines, specifies, or identifies the position or place of another entity in space or within a given context.
-
D.
positionOften
Indicates that one entity frequently holds, occupies, or is located at a particular position relative to another entity or context.
-
E.
placementIn
Indicates that one entity is located or positioned within the spatial or structural bounds 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_69f6057bd2708190bf400b153aca2f1b |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 9 a.m.