Triple
T22681779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trg republike |
E560499
|
entity |
| Predicate | formerStructureDemolishedIn |
P51835
|
FINISHED |
| Object | 1866 |
—
|
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: 1866 | Statement: [Trg republike, formerStructureDemolishedIn, 1866]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerStructureDemolishedIn Context triple: [Trg republike, formerStructureDemolishedIn, 1866]
-
A.
replacedStructureDemolished
Indicates that a structure which has been replaced by another has subsequently been demolished.
-
B.
demolishedOriginalStructures
Indicates that one entity has completely destroyed or removed the original structures associated with another entity.
-
C.
previousBuildingDemolished
chosen
Indicates that a building which previously occupied the same site or fulfilled the same role has been demolished.
-
D.
demolishedWith
Indicates that one entity was destroyed or torn down using another specified tool, method, or agent.
-
E.
mostStructuresDemolished
Indicates that the subject is the entity responsible for demolishing the greatest number of structures within a given context or set.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786113a881908f60285054d7ecfb |
completed | April 29, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69ee62a6245881909506ff502da14137 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:12 p.m.