Triple
T19068157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerusalem of the Balkans |
E466719
|
entity |
| Predicate | geographicContextOfCity |
P3227
|
FINISHED |
| Object | southwestern North Macedonia |
—
|
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: southwestern North Macedonia | Statement: [Jerusalem of the Balkans, geographicContextOfCity, southwestern North Macedonia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicContextOfCity Context triple: [Jerusalem of the Balkans, geographicContextOfCity, southwestern North Macedonia]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
geographyBehavior
Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
-
C.
capitalCityContext
Indicates that one entity serves as the capital city of another entity within a specified contextual or situational framework.
-
D.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
-
E.
metropolitanSeeCountry
Indicates that a metropolitan area is associated with, located in, or belongs to a particular country.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e19b94d08190865b62d98f718bb0 |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.