Triple
T28201445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holašovice Historic Village |
E716892
|
entity |
| Predicate | distanceFromČeskéBudějovice |
P105826
|
FINISHED |
| Object | approximately 15 km west |
—
|
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: approximately 15 km west | Statement: [Holašovice Historic Village, distanceFromČeskéBudějovice, approximately 15 km west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromČeskéBudějovice Context triple: [Holašovice Historic Village, distanceFromČeskéBudějovice, approximately 15 km west]
-
A.
distanceTo_ČeskéBudějovice
chosen
Indicates the spatial distance between a given entity and the location České Budějovice.
-
B.
distanceFromBrno
Indicates the spatial distance between a given entity and the city of Brno.
-
C.
distanceFromPlzeň_km
Indicates the distance, measured in kilometers, between an entity and the city of Plzeň.
-
D.
distanceFromPlzeň
Indicates the spatial distance between a given entity and the city of Plzeň.
-
E.
distanceToJihlava
Indicates the spatial distance between a given entity’s location and the city of Jihlava.
- 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_69efd6b826908190857e6e7dad74ed93 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ffc3f0b19c8190b5a749bc3cad21dd |
completed | May 9, 2026, 11:32 p.m. |
| PD | Predicate disambiguation | batch_69ffc1b882808190932b2d43ea5537c9 |
completed | May 9, 2026, 11:22 p.m. |
Created at: April 27, 2026, 10:31 p.m.