Triple

T10541596
Position Surface form Disambiguated ID Type / Status
Subject Kronach district E248706 entity
Predicate contains P35 FINISHED
Object Küps
Küps is a market town in the Upper Franconia region of Bavaria, Germany, known for its location in the Kronach district along the Rodach River.
 E871276 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: Küps | Statement: [Kronach district, contains, Küps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Küps
Context triple: [Kronach district, contains, Küps]
  • A. Kuper
    Kuper is a variant form of the name Cooper, typically used as a surname or given name.
  • B. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • C. Kõpu
    Kõpu is a small settlement on Estonia’s Hiiumaa Island, known primarily for its proximity to the historic Kõpu Lighthouse.
  • D. Kockums
    Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
  • E. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • 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: Küps
Triple: [Kronach district, contains, Küps]
Generated description
Küps is a market town in the Upper Franconia region of Bavaria, Germany, known for its location in the Kronach district along the Rodach River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Küps
Target entity description: Küps is a market town in the Upper Franconia region of Bavaria, Germany, known for its location in the Kronach district along the Rodach River.
  • A. Kuper
    Kuper is a variant form of the name Cooper, typically used as a surname or given name.
  • B. Kubelsky
    Kubelsky is the original surname of American comedian and entertainer Jack Benny, born Benjamin Kubelsky.
  • C. Kõpu
    Kõpu is a small settlement on Estonia’s Hiiumaa Island, known primarily for its proximity to the historic Kõpu Lighthouse.
  • D. Kockums
    Kockums is a Swedish shipyard and defense contractor renowned for designing advanced conventional submarines and naval vessels.
  • E. Kubban
    Kubban is an ancient Egyptian locality known as the cult center of the regional form of the god Horus, referred to as Horus of Kubban.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a5918648190b16c2d1bc1bf015f completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
NEDg Description generation batch_69d938c697f481908a93296ee7f82eae completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d940176c988190b7583ce9f2c21898 completed April 10, 2026, 6:23 p.m.
Created at: April 6, 2026, 12:32 p.m.