Triple
T2317474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goslar |
E51097
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Beroun |
E217732
|
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: Beroun | Statement: [Goslar, twinTown, Beroun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beroun Context triple: [Goslar, twinTown, Beroun]
-
A.
Beroun
chosen
Beroun is a historic town in the Czech Republic known for its medieval architecture, scenic location at the confluence of the Berounka and Litavka rivers, and proximity to the Bohemian Karst nature reserve.
-
B.
Český Brod
Český Brod is a historic town in the Central Bohemian Region of the Czech Republic, known for its medieval architecture and role as a former royal town on important trade routes.
-
C.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
D.
Třinec
Třinec is an industrial city in the Czech Republic best known for its large steelworks and location in the historical region of Cieszyn Silesia.
-
E.
Opava
Opava is a historic city in the Czech Republic’s Silesian region, known as a former political and cultural center of Silesia.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea87427f08190b8353f74c5231a32 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:49 p.m.