Triple
T5108847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narbonne |
E115163
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Kroměříž |
E448060
|
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: Kroměříž | Statement: [Narbonne, twinTown, Kroměříž]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kroměříž Context triple: [Narbonne, twinTown, Kroměříž]
-
A.
Kroměříž
chosen
Kroměříž is a historic town in the Czech Republic known for its UNESCO-listed Archbishop’s Chateau and Baroque gardens.
-
B.
Kolín
Kolín is a historic industrial town and important transport hub on the Elbe River in the Central Bohemian Region of the Czech Republic.
-
C.
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.
-
D.
Hradec Králové
Hradec Králové is a historic city in the Czech Republic known for its educational institutions, modernist architecture, and role as a regional cultural and economic center.
-
E.
Olomouc
Olomouc is a historic city in the eastern Czech Republic known for its well-preserved old town, Baroque architecture, and UNESCO-listed Holy Trinity Column.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75aa6b088190b02cdb66ec4a11f0 |
completed | March 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfe61a2cd8819089ea67309d284be4 |
completed | March 22, 2026, 12:52 p.m. |
Created at: March 20, 2026, 1:41 p.m.