Triple

T2560963
Position Surface form Disambiguated ID Type / Status
Subject German Brazilians E57240 entity
Predicate notableCity P2813 FINISHED
Object Pomerode
Pomerode is a small city in southern Brazil renowned for its strong German heritage, architecture, and cultural traditions.
 E278156 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: Pomerode | Statement: [German Brazilians, notableCity, Pomerode]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pomerode
Context triple: [German Brazilians, notableCity, Pomerode]
  • A. São Rafael
    São Rafael was one of the ships in Vasco da Gama’s pioneering First Portuguese India Armada that opened the sea route from Europe to India.
  • B. Panguipulli
    Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
  • C. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • D. Trelew
    Trelew is a city in the Chubut Province of Argentine Patagonia, known as a commercial and transportation hub with strong Welsh cultural heritage.
  • E. São Gabriel
    São Gabriel was the flagship carrack commanded by Vasco da Gama on his pioneering 1497–1499 voyage that opened the sea route from Europe to India.
  • 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: Pomerode
Triple: [German Brazilians, notableCity, Pomerode]
Generated description
Pomerode is a small city in southern Brazil renowned for its strong German heritage, architecture, and cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pomerode
Target entity description: Pomerode is a small city in southern Brazil renowned for its strong German heritage, architecture, and cultural traditions.
  • A. São Rafael
    São Rafael was one of the ships in Vasco da Gama’s pioneering First Portuguese India Armada that opened the sea route from Europe to India.
  • B. Panguipulli
    Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
  • C. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • D. Trelew
    Trelew is a city in the Chubut Province of Argentine Patagonia, known as a commercial and transportation hub with strong Welsh cultural heritage.
  • E. São Gabriel
    São Gabriel was the flagship carrack commanded by Vasco da Gama on his pioneering 1497–1499 voyage that opened the sea route from Europe to India.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
NEDg Description generation batch_69af60e78b488190bdd01ee77ed3648b completed March 10, 2026, 12:08 a.m.
NED2 Entity disambiguation (via description) batch_69af614ad2408190955c430cb7a7e302 completed March 10, 2026, 12:09 a.m.
Created at: March 6, 2026, 9:48 p.m.