Triple
T10274188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kassa |
E240920
|
entity |
| Predicate | modernCityNameLanguage |
P93060
|
FINISHED |
| Object | Slovak |
—
|
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: Slovak | Statement: [Kassa, modernCityNameLanguage, Slovak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCityNameLanguage Context triple: [Kassa, modernCityNameLanguage, Slovak]
-
A.
nationalCapitalInLanguage
Indicates that the name of a national capital is expressed or represented in a specified language.
-
B.
majorCityWhereSpoken
Indicates that a language or dialect is commonly spoken in the specified major city.
-
C.
locatedInCountryCapitalLanguageContext
Indicates that an entity is situated in a country’s capital city, within the contextual scope of a specific language.
-
D.
citySigned
Indicates that a city has formally signed or endorsed an agreement, document, or commitment.
-
E.
homeCityLanguage
Indicates that a particular language is predominantly spoken or officially used in a given home city.
- F. None of above. chosen
Provenance (4 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d28a9c508190824867c04e8dcbe7 |
completed | April 7, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ef6e6c81908a8ee52e4d28127b |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d285812c8190ab910dc85c53eebf |
completed | April 7, 2026, 9:46 a.m. |
Created at: April 6, 2026, 11:36 a.m.