Triple

T12318560
Position Surface form Disambiguated ID Type / Status
Subject Klatovy District E293668 entity
Predicate containsSettlement P847 FINISHED
Object Železná Ruda
Železná Ruda is a Czech mountain town and ski resort in the Šumava (Bohemian Forest) near the German border, known for tourism and natural scenery.
 E973632 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: Železná Ruda | Statement: [Klatovy District, containsSettlement, Železná Ruda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Železná Ruda
Context triple: [Klatovy District, containsSettlement, Železná Ruda]
  • A. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Nowa Ruda
    Nowa Ruda is a town in southwestern Poland, in the Lower Silesian Voivodeship, known for its historical coal mining industry and picturesque setting in the Owl Mountains.
  • E. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • 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: Železná Ruda
Triple: [Klatovy District, containsSettlement, Železná Ruda]
Generated description
Železná Ruda is a Czech mountain town and ski resort in the Šumava (Bohemian Forest) near the German border, known for tourism and natural scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Železná Ruda
Target entity description: Železná Ruda is a Czech mountain town and ski resort in the Šumava (Bohemian Forest) near the German border, known for tourism and natural scenery.
  • A. Loučka
    Loučka is a river in the Czech Republic that serves as a left-bank tributary of the Svratka River.
  • B. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • C. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • D. Nowa Ruda
    Nowa Ruda is a town in southwestern Poland, in the Lower Silesian Voivodeship, known for its historical coal mining industry and picturesque setting in the Owl Mountains.
  • E. Znamianka
    Znamianka is a city in central Ukraine that serves as an important regional railway junction and administrative center within Kirovohrad Oblast.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e88a1348190a04c21b24e1ba2b5 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5d746c8190b5b0edfc4832bc6c completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62045b20c819083c755fbe99a9a7f completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.