Triple
T17426958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albrecht von Wallenstein |
E423762
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Heřmanice |
—
|
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: Heřmanice | Statement: [Albrecht von Wallenstein, birthPlace, Heřmanice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heřmanice Context triple: [Albrecht von Wallenstein, birthPlace, Heřmanice]
-
A.
Heřmanice
chosen
Heřmanice is a village in the Czech Republic historically notable as the birthplace of the influential 17th-century military leader Albrecht von Wallenstein.
-
B.
Hartmanice
Hartmanice is a small town in the Plzeň Region of the Czech Republic, known for its location in the Šumava (Bohemian Forest) area.
-
C.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
D.
Hrabušice
Hrabušice is a village in eastern Slovakia that serves as a popular gateway for visitors exploring the Slovak Paradise National Park.
-
E.
Kamenice
Kamenice is a river flowing through the scenic sandstone gorges and forests of Bohemian Switzerland in the Czech Republic.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.