Triple
T27843606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Плоштад Македонија |
E703754
|
entity |
| Predicate | имаСпоменик |
P152947
|
FINISHED |
| Object | споменик на Цар Самоил |
—
|
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: споменик на Цар Самоил | Statement: [Плоштад Македонија, имаСпоменик, споменик на Цар Самоил]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имаСпоменик Context triple: [Плоштад Македонија, имаСпоменик, споменик на Цар Самоил]
-
A.
appearsInMemoryOf
Indicates that one entity is present or recalled within another entity’s memory or recollection.
-
B.
маєПамʼятку
chosen
Indicates that an entity possesses, contains, or is associated with a monument or memorial.
-
C.
commemoratedBy
Indicates that something is honored, remembered, or celebrated through a particular action, event, object, or representation.
-
D.
memorialWork
Indicates that one entity is a commemorative work (such as a monument, plaque, or artwork) created to honor or remember another entity.
-
E.
memorialName
Indicates that a memorial is known by or designated with a particular name.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:05 p.m.