Triple
T18908506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Týniště nad Orlicí railway station |
E462531
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object |
Letohrad
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.
|
E1367094
|
NE FINISHED |
How this triple was built (4 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: [Týniště nad Orlicí railway station, connectsTo, Letohrad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letohrad Context triple: [Týniště nad Orlicí railway station, connectsTo, Letohrad]
-
A.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
B.
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.
-
C.
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.
-
D.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
E.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Letohrad Triple: [Týniště nad Orlicí railway station, connectsTo, Letohrad]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Letohrad Target entity description: 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.
-
A.
Strakonice
Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
-
B.
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.
-
C.
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.
-
D.
Osek
Osek is a town in the Czech Republic historically associated with the family origins of writer Franz Kafka’s father, Hermann Kafka.
-
E.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
- F. None of above. chosen
Provenance (5 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52eed1881908929dace845ae008 |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e57a6ac81909dadc48731dc9940 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070ee343008190a1be4338889ae540 |
completed | May 15, 2026, 12:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a070f5c89348190925244dd0460bcdc |
completed | May 15, 2026, 12:19 p.m. |
Created at: April 10, 2026, 11:58 a.m.