Triple
T15250989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labské pískovce |
E364516
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Hřensko |
E1122808
|
NE 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: Hřensko | Statement: [Labské pískovce, near, Hřensko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hřensko Context triple: [Labské pískovce, near, Hřensko]
-
A.
Hřensko
chosen
Hřensko is a small Czech village in the Bohemian Switzerland National Park, known as a gateway to sandstone rock formations and popular hiking destinations near the German border.
-
B.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
-
C.
Vyhne
Vyhne is a historic village in central Slovakia known for its former mining activities, spa traditions, and scenic mountainous surroundings.
-
D.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
E.
Hronov
Hronov is a small town in the Hradec Králové Region of the Czech Republic, known as the birthplace of writer Alois Jirásek and for its traditional cultural events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f728648190b2c86e4528542b65 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219294d48190a4b6754aa107b155 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:13 a.m.