Triple
T19310208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vejprnice |
E482943
|
entity |
| Predicate | roadDistanceToPlzeň_km |
P102907
|
FINISHED |
| Object | approximately 7 |
—
|
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 7 | Statement: [Vejprnice, roadDistanceToPlzeň_km, approximately 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToPlzeň_km Context triple: [Vejprnice, roadDistanceToPlzeň_km, approximately 7]
-
A.
distanceToPlzeň
Indicates the spatial distance between a given entity and the city of Plzeň.
-
B.
distanceFromPlzeň
Indicates the spatial distance between a given entity and the city of Plzeň.
-
C.
distanceFromPlzeň_km
chosen
Indicates the distance, measured in kilometers, between an entity and the city of Plzeň.
-
D.
distanceToOstrava
Indicates the measured or estimated distance between a given entity’s location and the city of Ostrava.
-
E.
distanceToBrno
Indicates the spatial distance between a given entity’s location and the city of Brno.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604cc62e08190b5ba5dfc44efdc5c |
completed | April 20, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.