Triple
T11131833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Náchod |
E263301
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Hronov |
E899902
|
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: Hronov | Statement: [Náchod, hasNearbyTown, Hronov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hronov Context triple: [Náchod, hasNearbyTown, Hronov]
-
A.
Hronov
chosen
Hronov is a small town in the Hradec Králové Region of the Czech Republic, known as the birthplace of writer Alois Jirásek and for its traditional cultural events.
-
B.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
C.
Borohrádek
Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
-
D.
Bruntál
Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
-
E.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e831f4808190afabdaa0e97bbe32 |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3185fc81908c1b838e6883de2f |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:28 p.m.