Triple
T34308532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Камен мост |
E880377
|
entity |
| Predicate | свързанСКвартал |
P37
|
FINISHED |
| Object | Старата чаршия (Скопие) |
—
|
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: Старата чаршия (Скопие) | Statement: [Камен мост, свързанСКвартал, Старата чаршия (Скопие)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: свързанСКвартал Context triple: [Камен мост, свързанСКвартал, Старата чаршия (Скопие)]
-
A.
повʼязанеЗ
Indicates a general association or connection between one entity and another.
-
B.
linkedSector
Indicates that one sector is associated or connected to another sector in a meaningful or relevant way.
-
C.
linkedCity
Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
-
D.
relatedPass
Indicates that one pass is associated with or connected to another pass in some relevant way.
-
E.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:57 a.m.