Triple
T9876212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Svitava |
E240078
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Brno-střed |
E47149
|
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: Brno-střed | Statement: [Svitava, passesThrough, Brno-střed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brno-střed Context triple: [Svitava, passesThrough, Brno-střed]
-
A.
Brno-sever
Brno-sever is a municipal district in the northern part of Brno in the Czech Republic, comprising several neighborhoods and residential areas.
-
B.
Brno-Židenice
Brno-Židenice is a district of the city of Brno in the Czech Republic, known as a residential and industrial area with important transport links.
-
C.
Brno
chosen
Brno is the second-largest city in the Czech Republic, known as a major cultural, educational, and industrial center in the historical region of Moravia.
-
D.
Bražec
Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
-
E.
Havlíčkův Brod
Havlíčkův Brod is a historic town in the Vysočina Region of the Czech Republic, situated on the Sázava River and known for its medieval center and long-standing brewing tradition.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3fb58d481908407898912c4b4e9 |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2576ba3f08190adafa5ef87e98026 |
completed | April 5, 2026, 12:36 p.m. |
Created at: March 30, 2026, 8:37 p.m.