Triple

T16206120
Position Surface form Disambiguated ID Type / Status
Subject Tábor District E393331 entity
Predicate contains P35 FINISHED
Object Borotín
Borotín is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historic church.
 E1201277 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: Borotín | Statement: [Tábor District, contains, Borotín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Borotín
Context triple: [Tábor District, contains, Borotín]
  • A. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • B. Sobrance
    Sobrance is a small town in eastern Slovakia near the Ukrainian border, known as an administrative center of the Sobrance District in the Košice Region.
  • C. Štiavnik
    Štiavnik is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • D. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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: Borotín
Triple: [Tábor District, contains, Borotín]
Generated description
Borotín is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historic church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Borotín
Target entity description: Borotín is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historic church.
  • A. Zátopek
    Zátopek is a Czech surname most famously associated with Emil Zátopek, the legendary long-distance runner and four-time Olympic gold medalist.
  • B. Sobrance
    Sobrance is a small town in eastern Slovakia near the Ukrainian border, known as an administrative center of the Sobrance District in the Košice Region.
  • C. Štiavnik
    Štiavnik is a village and municipality in northern Slovakia, situated in the Žilina Region.
  • D. Borohrádek
    Borohrádek is a small town in the Hradec Králové Region of the Czech Republic.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270f047c819084645da27759a3d2 completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00078fa2ac8190a0a2cf38bc41498d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:03 a.m.