Triple

T14737823
Position Surface form Disambiguated ID Type / Status
Subject Kummerower See E346258 entity
Predicate hasSettlementOnShore P16159 FINISHED
Object Verchen
Verchen is a small village in northeastern Germany located on the shores of Lake Kummerow in the state of Mecklenburg-Vorpommern.
 E1117608 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: Verchen | Statement: [Kummerower See, hasSettlementOnShore, Verchen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verchen
Context triple: [Kummerower See, hasSettlementOnShore, Verchen]
  • A. 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.
  • B. Cheremule
    Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
  • C. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • D. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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: Verchen
Triple: [Kummerower See, hasSettlementOnShore, Verchen]
Generated description
Verchen is a small village in northeastern Germany located on the shores of Lake Kummerow in the state of Mecklenburg-Vorpommern.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verchen
Target entity description: Verchen is a small village in northeastern Germany located on the shores of Lake Kummerow in the state of Mecklenburg-Vorpommern.
  • A. 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.
  • B. Cheremule
    Cheremule is a small municipality in northern Sardinia, Italy, known for its rural landscape and archaeological sites within the historical Logudoro region.
  • C. Свислочь
    Свислочь — река в Беларуси, протекающая через Минск и являющаяся одним из заметных водных объектов столицы.
  • D. Olenka
    Olenka is a Slavic diminutive form of the female given name Olga, often used as an affectionate or familiar nickname.
  • E. Vereya
    Vereya is a small historic town in Russia that was once part of the former Moscow Governorate.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb90378481909a3083680f11101c completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fe0105fe8081909be6d790ba18693c completed May 8, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69fe01668bd88190a1db045fdad514ba completed May 8, 2026, 3:29 p.m.
Created at: April 10, 2026, 1:29 a.m.