Triple
T8968049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kralupy nad Vltavou |
E214187
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object | Mělník |
E231915
|
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: Mělník | Statement: [Kralupy nad Vltavou, hasNearbyCity, Mělník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mělník Context triple: [Kralupy nad Vltavou, hasNearbyCity, Mělník]
-
A.
Mělník
chosen
Mělník is a historic Czech town north of Prague, known for its wine production and its location at the confluence of the Elbe and Vltava rivers.
-
B.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
C.
Třeboň
Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
-
D.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
E.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6764aca48190a5e472d1b6841886 |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3c26abf088190a4ecf4acc001b905 |
completed | April 6, 2026, 2:25 p.m. |
Created at: March 30, 2026, 7:01 p.m.