Triple
T15912051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olomouc District |
E385872
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Senice na Hané
Senice na Hané is a small municipality and village in the Olomouc Region of the Czech Republic, known for its rural character and location in the Haná ethnographic area.
|
E1183822
|
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: Senice na Hané | Statement: [Olomouc District, contains, Senice na Hané]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senice na Hané Context triple: [Olomouc District, contains, Senice na Hané]
-
A.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
B.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
C.
Delnice
Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
-
D.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
E.
Lubenice
Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
- 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: Senice na Hané Triple: [Olomouc District, contains, Senice na Hané]
Generated description
Senice na Hané is a small municipality and village in the Olomouc Region of the Czech Republic, known for its rural character and location in the Haná ethnographic area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senice na Hané Target entity description: Senice na Hané is a small municipality and village in the Olomouc Region of the Czech Republic, known for its rural character and location in the Haná ethnographic area.
-
A.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
B.
Husinec
Husinec is a small Czech town best known as the birthplace of the religious reformer Jan Hus.
-
C.
Delnice
Delnice is a small town in western Croatia known as a mountain and winter sports center in the Gorski Kotar region.
-
D.
Pohořelice
Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
-
E.
Lubenice
Lubenice is a small, historic hilltop village on the Croatian island of Cres, known for its stone architecture, dramatic cliffs, and views over the Adriatic Sea.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05750ac81908860143f4ca26cc7 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb110a5b88190904f763057e8eb1e |
completed | May 9, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1a5e9b88190b790c81b9500c2ac |
completed | May 9, 2026, 10:13 p.m. |
Created at: April 10, 2026, 4:52 a.m.