Triple
T34308523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Камен мост |
E880377
|
entity |
| Predicate | бройОтвори |
P44759
|
FINISHED |
| Object | 13 арки |
—
|
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: 13 арки | Statement: [Камен мост, бройОтвори, 13 арки]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: бройОтвори Context triple: [Камен мост, бройОтвори, 13 арки]
-
A.
numberOfOpenings
chosen
Indicates the quantity of available positions, slots, or opportunities currently open in a given context.
-
B.
isOpeningNumberOf
Indicates that something serves as the first or initial item in the numbered sequence of another entity.
-
C.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
D.
opens
Indicates that one entity causes or allows another entity (such as an object, space, or resource) to become accessible or no longer closed.
-
E.
opened
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
- 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_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:57 a.m.