Triple

T11795714
Position Surface form Disambiguated ID Type / Status
Subject Novo Hamburgo E280500 entity
Predicate hasDistrict P459 FINISHED
Object Hamburgo Velho
Hamburgo Velho is a historic district of Novo Hamburgo in southern Brazil, known for its German immigrant heritage and preserved 19th-century architecture.
 E947063 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: Hamburgo Velho | Statement: [Novo Hamburgo, hasDistrict, Hamburgo Velho]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hamburgo Velho
Context triple: [Novo Hamburgo, hasDistrict, Hamburgo Velho]
  • A. St. Pauli
    St. Pauli is a district of Hamburg, Germany, best known for its vibrant nightlife, countercultural scene, and association with the football club FC St. Pauli.
  • B. Muscat de Hambourg
    Muscat de Hambourg is a dark-skinned Muscat grape variety primarily used to produce aromatic, sweet red and rosé wines.
  • C. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • D. Nottuln
    Nottuln is a historic municipality in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
  • E. Dortmund
    Dortmund is a major city in western Germany known for its rich football culture, industrial heritage, and home club Borussia Dortmund.
  • 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: Hamburgo Velho
Triple: [Novo Hamburgo, hasDistrict, Hamburgo Velho]
Generated description
Hamburgo Velho is a historic district of Novo Hamburgo in southern Brazil, known for its German immigrant heritage and preserved 19th-century architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hamburgo Velho
Target entity description: Hamburgo Velho is a historic district of Novo Hamburgo in southern Brazil, known for its German immigrant heritage and preserved 19th-century architecture.
  • A. St. Pauli
    St. Pauli is a district of Hamburg, Germany, best known for its vibrant nightlife, countercultural scene, and association with the football club FC St. Pauli.
  • B. Muscat de Hambourg
    Muscat de Hambourg is a dark-skinned Muscat grape variety primarily used to produce aromatic, sweet red and rosé wines.
  • C. Wolfsburg
    Wolfsburg is a German city best known as the headquarters and main production site of the Volkswagen automobile company.
  • D. Nottuln
    Nottuln is a historic municipality in North Rhine-Westphalia, Germany, known for its medieval architecture and role in regional conflicts.
  • E. Dortmund
    Dortmund is a major city in western Germany known for its rich football culture, industrial heritage, and home club Borussia Dortmund.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0911c2a40819088079fc286e4dc67 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.