Triple
T18970814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letohrad railway station |
E464161
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Letohrad |
—
|
NE NERFINISHED |
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: Letohrad | Statement: [Letohrad railway station, locatedIn, Letohrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letohrad Context triple: [Letohrad railway station, locatedIn, Letohrad]
-
A.
Letohrad
chosen
Letohrad is a small town in the Pardubice Region of the Czech Republic, known for its historic center and location in the Orlické Mountains foothills.
-
B.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
C.
Uherské Hradiště
Uherské Hradiště is a historic town in the Zlín Region of the Czech Republic, known as a cultural center of the Moravian Slovakia ethnographic area.
-
D.
Rajhrad
Rajhrad is a historic town in the South Moravian Region of the Czech Republic, known for its Benedictine monastery and proximity to the city of Brno.
-
E.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d619acbc8190acb49b3fae707758 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon