Triple

T2892900
Position Surface form Disambiguated ID Type / Status
Subject Zygmunt Berling E63868 entity
Predicate familyName P18 FINISHED
Object Berling
Berling is a Polish surname most notably associated with Zygmunt Berling, a Polish general and political figure during World War II.
 E307609 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: Berling | Statement: [Zygmunt Berling, familyName, Berling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berling
Context triple: [Zygmunt Berling, familyName, Berling]
  • A. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • B. Oldenburg
    Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
  • C. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Hintonburg
    Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
  • 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: Berling
Triple: [Zygmunt Berling, familyName, Berling]
Generated description
Berling is a Polish surname most notably associated with Zygmunt Berling, a Polish general and political figure during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berling
Target entity description: Berling is a Polish surname most notably associated with Zygmunt Berling, a Polish general and political figure during World War II.
  • A. Cölln
    Cölln was a historic town on the River Spree that, together with Berlin, formed the core of what later became the city of Berlin.
  • B. Oldenburg
    Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
  • C. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • D. Stolica
    Stolica is the highest peak of the Slovak Ore Mountains in central Slovakia, known for its forested slopes and scenic hiking routes.
  • E. Hintonburg
    Hintonburg is a historic, arts-oriented urban neighbourhood in west-central Ottawa, known for its mix of residential streets, independent shops, and cultural venues.
  • 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_69ab4c45822c8190830c5f2bb97bcfd0 completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe062234c81909411e34db7d2683d completed March 7, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0317e15248190bade0f0fd930581a completed March 10, 2026, 2:58 p.m.
NEDg Description generation batch_69b034b304f8819096eda16e314912b4 completed March 10, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69b03c60a5988190b015a1cf05068845 completed March 10, 2026, 3:44 p.m.
Created at: March 6, 2026, 10:07 p.m.