Triple
T17765454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jizbice |
E443490
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Jizbice (Czech) |
—
|
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: Jizbice (Czech) | Statement: [Jizbice, hasNameInLanguage, Jizbice (Czech)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jizbice (Czech) Context triple: [Jizbice, hasNameInLanguage, Jizbice (Czech)]
-
A.
Jizbice
chosen
Jizbice is a small locality that forms part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
B.
Žužemberk
Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
-
C.
Hrabušice
Hrabušice is a village in eastern Slovakia that serves as a popular gateway for visitors exploring the Slovak Paradise National Park.
-
D.
Zbyhněv
Zbyhněv is a given name, likely a variant or regional form of the Slavic name Zbigniew.
-
E.
Lubenice
Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fc03e48190a8044e1b40f66f20 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.