Triple

T23127257
Position Surface form Disambiguated ID Type / Status
Subject Gama, Federal District, Brazil E577064 entity
Predicate hasSubdivision P747 FINISHED
Object Setor Norte
Setor Norte is a residential and commercial neighborhood that forms one of the urban subdivisions of Gama in Brazil’s Federal District.
 E1578729 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: Setor Norte | Statement: [Gama, Federal District, Brazil, hasSubdivision, Setor Norte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Setor Norte
Context triple: [Gama, Federal District, Brazil, hasSubdivision, Setor Norte]
  • A. Setor Oeste
    Setor Oeste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
  • B. Setor Leste
    Setor Leste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
  • C. Zona Leste
    Zona Leste is the populous eastern region of São Paulo, Brazil, known for its extensive residential neighborhoods and growing urban infrastructure.
  • D. Setor Central
    Setor Central is a central urban neighborhood and administrative area within the city of Gama in Brazil’s Federal District.
  • E. Zona Norte
    Zona Norte is a regional conference within Mexico's professional basketball league system that includes teams such as Soles de Mexicali.
  • 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: Setor Norte
Triple: [Gama, Federal District, Brazil, hasSubdivision, Setor Norte]
Generated description
Setor Norte is a residential and commercial neighborhood that forms one of the urban subdivisions of Gama in Brazil’s Federal District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Setor Norte
Target entity description: Setor Norte is a residential and commercial neighborhood that forms one of the urban subdivisions of Gama in Brazil’s Federal District.
  • A. Setor Oeste
    Setor Oeste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
  • B. Setor Leste
    Setor Leste is a neighborhood-level subdivision within the administrative region of Gama in Brazil’s Federal District.
  • C. Zona Leste
    Zona Leste is the populous eastern region of São Paulo, Brazil, known for its extensive residential neighborhoods and growing urban infrastructure.
  • D. Setor Central
    Setor Central is a central urban neighborhood and administrative area within the city of Gama in Brazil’s Federal District.
  • E. Zona Norte
    Zona Norte is a regional conference within Mexico's professional basketball league system that includes teams such as Soles de Mexicali.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e55aa38819092816ffc52e20dbe completed April 29, 2026, 4:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f3b80dc8190b5bcf3946570c200 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 3:59 p.m.