Triple
T21357675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammelburg |
E526677
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Našice |
—
|
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: Našice | Statement: [Hammelburg, twinnedWith, Našice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Našice Context triple: [Hammelburg, twinnedWith, Našice]
-
A.
Našice
chosen
Našice is a town in eastern Croatia known for its historical architecture, cultural heritage, and surrounding natural landscapes.
-
B.
Lovosice
Lovosice is a town in the Czech Republic, historically notable as the site of the 1756 Battle of Lobositz during the Seven Years' War.
-
C.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
D.
Nebušice
Nebušice is a residential district on the northwestern edge of Prague, known for its green surroundings and proximity to the international school community.
-
E.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:07 p.m.