Triple
T9162934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olomouc Region |
E219870
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Šumperk |
E784608
|
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: Šumperk | Statement: [Olomouc Region, hasMajorCity, Šumperk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Šumperk Context triple: [Olomouc Region, hasMajorCity, Šumperk]
-
A.
Šumperk
chosen
Šumperk is a historic town in the Olomouc Region of the Czech Republic, known for its preserved architecture and location near the Jeseníky Mountains in northern Moravia.
-
B.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
C.
Mělník
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.
-
D.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
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_69ca83e3633c81908688a9fa2306ba99 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaa2d6628819084ac4734650fe912 |
completed | April 1, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121eb1c9881908aebf9e1dab72457 |
completed | April 4, 2026, 2:36 p.m. |
Created at: March 30, 2026, 7:21 p.m.