Triple

T6983618
Position Surface form Disambiguated ID Type / Status
Subject Jungfernsee E161906 entity
Predicate locatedNear P294 FINISHED
Object Sacrow
Sacrow is a historic village and park area in Potsdam, Germany, known for its lakeside landscapes, the Church of the Redeemer, and its location near the former inner-German border.
E632874 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: Sacrow | Statement: [Jungfernsee, locatedNear, Sacrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sacrow
Context triple: [Jungfernsee, locatedNear, Sacrow]
  • A. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • B. Yorkton
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • C. Saxmundham
    Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
  • D. Sancroft
    Sancroft is an English surname most notably associated with William Sancroft, the 17th-century Archbishop of Canterbury.
  • E. Willingdon
    Willingdon is a village in East Sussex, England, situated near the town of Hailsham.
  • 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: Sacrow
Triple: [Jungfernsee, locatedNear, Sacrow]
Generated description
Sacrow is a historic village and park area in Potsdam, Germany, known for its lakeside landscapes, the Church of the Redeemer, and its location near the former inner-German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sacrow
Target entity description: Sacrow is a historic village and park area in Potsdam, Germany, known for its lakeside landscapes, the Church of the Redeemer, and its location near the former inner-German border.
  • A. Huntingdon
    Huntingdon is a parliamentary constituency in Cambridgeshire, England, best known for being represented for many years by former UK Prime Minister John Major.
  • B. Yorkton
    Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
  • C. Saxmundham
    Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
  • D. Sancroft
    Sancroft is an English surname most notably associated with William Sancroft, the 17th-century Archbishop of Canterbury.
  • E. Willingdon
    Willingdon is a village in East Sussex, England, situated near the town of Hailsham.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db90e9108190a7aedeef1fb17eb4 completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c761c671588190a4e7b5c26cdfe6ba completed March 28, 2026, 5:06 a.m.
NEDg Description generation batch_69c762eaf7f08190b82ff23f2b502762 completed March 28, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69c763d604148190a3004ab99c79834f completed March 28, 2026, 5:15 a.m.
Created at: March 27, 2026, 2:31 p.m.