Triple
T15866433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Čáslav Air Base |
E384724
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Čáslav |
E183261
|
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: Čáslav | Statement: [Čáslav Air Base, locatedIn, Čáslav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čáslav Context triple: [Čáslav Air Base, locatedIn, Čáslav]
-
A.
Čáslav
chosen
Čáslav is a historic town in the Czech Republic known for its medieval architecture and location in the fertile Elbe lowlands.
-
B.
Beloslav
Beloslav is a small industrial town in northeastern Bulgaria known for its glass production and proximity to the city of Varna.
-
C.
Ďurčanský
Ďurčanský is a Slovak surname most notably associated with Ferdinand Ďurčanský, a 20th-century Slovak politician and lawyer.
-
D.
Slanica
Slanica was a former Slovak village in the Orava region that was submerged during the creation of the Orava Reservoir, with only its church preserved on an island as a memorial.
-
E.
Blansko
Blansko is a small industrial town in the South Moravian Region of the Czech Republic, known as a gateway to the Moravian Karst cave system.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155603e908190acad1bce2eb6e210 |
completed | April 16, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa947ba3881909c602f2fc60dd6e8 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:50 a.m.