Triple
T10701516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teplice nad Metují |
E252287
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Dolní Teplice
Dolní Teplice is a village and administrative part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
|
E887135
|
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: Dolní Teplice | Statement: [Teplice nad Metují, hasPart, Dolní Teplice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dolní Teplice Context triple: [Teplice nad Metují, hasPart, Dolní Teplice]
-
A.
Rajecké Teplice
Rajecké Teplice is a Slovak spa town renowned for its thermal springs and wellness tourism.
-
B.
Teplice
Teplice is a historic spa city in the north of the Czech Republic, renowned for its thermal springs and long tradition of balneotherapy.
-
C.
Teplá
Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
-
D.
Dolní Dunajovice
Dolní Dunajovice is a village and municipality in the South Moravian Region of the Czech Republic, historically part of Moravia and known for its wine-growing tradition.
-
E.
Třeboň
Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
- 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: Dolní Teplice Triple: [Teplice nad Metují, hasPart, Dolní Teplice]
Generated description
Dolní Teplice is a village and administrative part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dolní Teplice Target entity description: Dolní Teplice is a village and administrative part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
-
A.
Rajecké Teplice
Rajecké Teplice is a Slovak spa town renowned for its thermal springs and wellness tourism.
-
B.
Teplice
Teplice is a historic spa city in the north of the Czech Republic, renowned for its thermal springs and long tradition of balneotherapy.
-
C.
Teplá
Teplá is a river in the western Czech Republic that flows through the spa city of Karlovy Vary before joining the Ohře River.
-
D.
Dolní Dunajovice
Dolní Dunajovice is a village and municipality in the South Moravian Region of the Czech Republic, historically part of Moravia and known for its wine-growing tradition.
-
E.
Třeboň
Třeboň is a historic spa town in the Czech Republic renowned for its Renaissance architecture, fishpond landscapes, and long tradition of carp farming.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd8c835c8190bf1a67ee94195926 |
completed | April 9, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de847e0ee48190a4c1470fc5296213 |
completed | April 14, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69de8954500c81909b57c4f8007959aa |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f38e3048190b1acc81bb56fe165 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:12 p.m.