Triple
T19326289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mošnov |
E483362
|
entity |
| Predicate | railAccessTo |
P19495
|
FINISHED |
| Object |
Studénka
Studénka is a town in the Moravian-Silesian Region of the Czech Republic, known historically for its railway engineering and carriage works.
|
E1370572
|
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: Studénka | Statement: [Mošnov, railAccessTo, Studénka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Studénka Context triple: [Mošnov, railAccessTo, Studénka]
-
A.
Tri Studničky
Tri Studničky is a trailhead and mountain area in the High Tatras of Slovakia, known as a popular starting point for hikes up Kriváň.
-
B.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
C.
Ležáky
Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
-
D.
Ladomírka
Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
-
E.
Čeladenka
Čeladenka is a small river in the Moravian-Silesian Region of the Czech Republic that flows through the Beskid Mountains before joining the Ostravice River.
- 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: Studénka Triple: [Mošnov, railAccessTo, Studénka]
Generated description
Studénka is a town in the Moravian-Silesian Region of the Czech Republic, known historically for its railway engineering and carriage works.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Studénka Target entity description: Studénka is a town in the Moravian-Silesian Region of the Czech Republic, known historically for its railway engineering and carriage works.
-
A.
Tri Studničky
Tri Studničky is a trailhead and mountain area in the High Tatras of Slovakia, known as a popular starting point for hikes up Kriváň.
-
B.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice River.
-
C.
Ležáky
Ležáky is a small Czech village historically known for being completely destroyed by Nazi forces in 1942 in retaliation for resistance activities during World War II.
-
D.
Ladomírka
Ladomírka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
-
E.
Čeladenka
Čeladenka is a small river in the Moravian-Silesian Region of the Czech Republic that flows through the Beskid Mountains before joining the Ostravice River.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bdc5a2881908b7e71c397be2c2f |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de35b9081908d1b6e797cbe69ce |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:33 p.m.