Triple
T20944193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Český Krumlov |
E515801
|
entity |
| Predicate | distanceToČeskéBudějovice |
P105826
|
FINISHED |
| Object | about 25 km southwest |
—
|
LITERAL 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: about 25 km southwest | Statement: [Český Krumlov, distanceToČeskéBudějovice, about 25 km southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToČeskéBudějovice Context triple: [Český Krumlov, distanceToČeskéBudějovice, about 25 km southwest]
-
A.
distanceTo_ČeskéBudějovice
chosen
Indicates the spatial distance between a given entity and the location České Budějovice.
-
B.
distanceToPlzeň
Indicates the spatial distance between a given entity and the city of Plzeň.
-
C.
distanceToBrno
Indicates the spatial distance between a given entity’s location and the city of Brno.
-
D.
distanceFromBrno
Indicates the spatial distance between a given entity and the city of Brno.
-
E.
distanceFromPlzeň
Indicates the spatial distance between a given entity and the city of Plzeň.
- F. None of above.
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_69e0b4fc13408190b06868df03c5c29b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fad705e481909da0098d7c73cd02 |
completed | April 21, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c9b1bae48190a845165fed1b005e |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:52 p.m.