Triple
T3533587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meissen |
E74716
|
entity |
| Predicate | hasTwinTown |
P919
|
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: [Meissen, hasTwinTown, Mělník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mělník Context triple: [Meissen, hasTwinTown, 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.
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.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
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.
-
E.
Karviná
Karviná is an industrial city in the Moravian-Silesian Region of the Czech Republic, historically part of Cieszyn Silesia and known for its coal mining heritage.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9b945481909867d44b810e8b1f |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb87c3748190bce62e86fcdfa380 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:19 p.m.