Triple
T7833437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vysočina Region |
E181629
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Telč
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
|
E695949
|
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: Telč | Statement: [Vysočina Region, containsSettlement, Telč]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telč Context triple: [Vysočina Region, containsSettlement, Telč]
-
A.
Ptuj
Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
-
B.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
C.
Tatura
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
D.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
E.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
- 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: Telč Triple: [Vysočina Region, containsSettlement, Telč]
Generated description
Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telč Target entity description: Telč is a historic Czech town renowned for its well-preserved Renaissance and Baroque square, which is listed as a UNESCO World Heritage Site.
-
A.
Ptuj
Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava River.
-
B.
Lučenec
Lučenec is a town in southern Slovakia known as a regional center of trade, transport, and culture in the Novohrad area.
-
C.
Tatura
Tatura is a rural town in northern Victoria, Australia, known for its agricultural industries and historical World War II internment camps.
-
D.
Lovech
Lovech is a historic city in north-central Bulgaria, known for its medieval fortress, picturesque old town, and important role during the Second Bulgarian Empire.
-
E.
Kladno
Kladno is an industrial city in the Czech Republic known historically for coal mining and steel production.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064a47648190af2ca2b336584a92 |
completed | March 30, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a9b7bb081909d6aa066ee064093 |
completed | March 31, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69cb5ded0284819086c40a379b52a5bd |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb765db28881909ac34071ec6889b3 |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:45 p.m.