Triple

T16256102
Position Surface form Disambiguated ID Type / Status
Subject Sokolov Basin E394631 entity
Predicate hasTown P847 FINISHED
Object Rotava
Rotava is a small industrial town in the Karlovy Vary Region of the Czech Republic, historically associated with mining and glassmaking.
 E1202547 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: Rotava | Statement: [Sokolov Basin, hasTown, Rotava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rotava
Context triple: [Sokolov Basin, hasTown, Rotava]
  • A. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • B. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • C. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • D. Rostaelva
    Rostaelva is a river in Norway that serves as one of the tributaries feeding into the larger Målselva watercourse.
  • E. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • 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: Rotava
Triple: [Sokolov Basin, hasTown, Rotava]
Generated description
Rotava is a small industrial town in the Karlovy Vary Region of the Czech Republic, historically associated with mining and glassmaking.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rotava
Target entity description: Rotava is a small industrial town in the Karlovy Vary Region of the Czech Republic, historically associated with mining and glassmaking.
  • A. Veleslavín
    Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
  • B. Vandjala
    Vandjala is a small village in northern Estonia located within Harku Parish in Harju County.
  • C. Verchota
    Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
  • D. Rostaelva
    Rostaelva is a river in Norway that serves as one of the tributaries feeding into the larger Målselva watercourse.
  • E. Moraro
    Moraro is a small municipality in northeastern Italy, located in the Friuli Venezia Giulia region near the border with Slovenia.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2459a48f081909c76b38741b8f04e completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee9bc4c8190bb7e54ed2ad162b3 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011995ff481908bbca9f9cfb41bf0 completed May 10, 2026, 5:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0012669ff48190884367b92962a6d4 completed May 10, 2026, 5:06 a.m.
Created at: April 10, 2026, 5:04 a.m.