Triple
T10567641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milovice |
E249390
|
entity |
| Predicate | hasAdministrativePart |
P3892
|
FINISHED |
| Object |
Boží Dar
Boží Dar is a small settlement in the Czech Republic that functions as an administrative part of the town of Milovice.
|
E872945
|
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: Boží Dar | Statement: [Milovice, hasAdministrativePart, Boží Dar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boží Dar Context triple: [Milovice, hasAdministrativePart, Boží Dar]
-
A.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
-
B.
Pošeň
Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
C.
Lady of Mělník
Lady of Mělník was a noble title associated with the Bohemian estates, notably borne by Queen Barbara of Cilli as part of her extensive landholdings and influence in the Kingdom of Bohemia.
-
D.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
E.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice 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: Boží Dar Triple: [Milovice, hasAdministrativePart, Boží Dar]
Generated description
Boží Dar is a small settlement in the Czech Republic that functions as an administrative part of the town of Milovice.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Boží Dar Target entity description: Boží Dar is a small settlement in the Czech Republic that functions as an administrative part of the town of Milovice.
-
A.
Boží Dar
Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
-
B.
Pošeň
Pošeň is a local neighborhood within the Ružinov borough of Bratislava, Slovakia.
-
C.
Lady of Mělník
Lady of Mělník was a noble title associated with the Bohemian estates, notably borne by Queen Barbara of Cilli as part of her extensive landholdings and influence in the Kingdom of Bohemia.
-
D.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
E.
Bechyně
Bechyně is a historic spa town in the Czech Republic known for its ceramics tradition and picturesque location above the Lužnice 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5280da8bc8190a2a7c90dbc17ea70 |
completed | April 7, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b42879481909f9c98b2579c10a1 |
completed | April 10, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:36 p.m.