Triple

T2719973
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Pieck E60058 entity
Predicate placeOfBirth P1 FINISHED
Object Guben
Guben is a town in eastern Germany near the Polish border, historically part of Brandenburg and known for its textile and industrial heritage.
 E293204 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: Guben | Statement: [Wilhelm Pieck, placeOfBirth, Guben]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guben
Context triple: [Wilhelm Pieck, placeOfBirth, Guben]
  • A. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • C. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • D. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • E. Gebal
    Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
  • 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: Guben
Triple: [Wilhelm Pieck, placeOfBirth, Guben]
Generated description
Guben is a town in eastern Germany near the Polish border, historically part of Brandenburg and known for its textile and industrial heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guben
Target entity description: Guben is a town in eastern Germany near the Polish border, historically part of Brandenburg and known for its textile and industrial heritage.
  • A. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • B. Geva
    Geva is a surname most notably associated with Tamara Geva, a Russian-American actress, dancer, and choreographer.
  • C. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • D. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • E. Gebal
    Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb75ea498819089c79e63052e9696 completed March 10, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_69afb83ba6dc8190931d691d3e354bd7 completed March 10, 2026, 6:20 a.m.
Created at: March 6, 2026, 9:55 p.m.