Triple
T31953990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novi Grad |
E815854
|
entity |
| Predicate | basedOnCountryType |
P93688
|
FINISHED |
| Object | Eastern European nation archetype |
—
|
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: Eastern European nation archetype | Statement: [Novi Grad, basedOnCountryType, Eastern European nation archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnCountryType Context triple: [Novi Grad, basedOnCountryType, Eastern European nation archetype]
-
A.
hasCountryType
Indicates that an entity is associated with or classified under a specific type or category of country.
-
B.
basedOnNationality
Indicates a relationship where something is determined, derived, or decided according to a person’s nationality.
-
C.
basedOnWorkCountryOfOrigin
Indicates that something is determined or derived from the country of origin of a work.
-
D.
basedOnType
chosen
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
E.
usesCountry
Indicates that one entity makes use of, operates within, or is functionally associated with a specified 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe2f078c24819082ba396b56f02808 |
completed | May 8, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69fe228fe1988190baf3bb34897f3dbe |
completed | May 8, 2026, 5:51 p.m. |
Created at: May 1, 2026, 12:08 a.m.