Triple
T30568412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sillein |
E778052
|
entity |
| Predicate | modernCountryOfReferencedCity |
P155516
|
FINISHED |
| Object | Slovakia |
—
|
NE NERFINISHED |
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: Slovakia | Statement: [Sillein, modernCountryOfReferencedCity, Slovakia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCountryOfReferencedCity Context triple: [Sillein, modernCountryOfReferencedCity, Slovakia]
-
A.
modernCountryOfCity
chosen
Indicates that a city is located within the borders of a specified modern-day country.
-
B.
countryOfCityReferredTo
Indicates that one entity is the country in which the referenced city entity is located.
-
C.
countryOfOriginOfCity
Indicates that a country is the nation in which a given city is geographically located or from which it originates.
-
D.
metropolitanSeeCountry
Indicates that a metropolitan area is associated with, located in, or belongs to a particular country.
-
E.
refersToCapitalCountry
Indicates that one entity is the capital city of the country represented by the other entity.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 8:21 p.m.