Triple

T23022631
Position Surface form Disambiguated ID Type / Status
Subject Manuel Carneiro de Sousa Bandeira Filho E573208 entity
Predicate educatedAt P5 FINISHED
Object Escola Politécnica de São Paulo NE NERFINISHED

How this triple was built (2 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: Escola Politécnica de São Paulo | Statement: [Manuel Carneiro de Sousa Bandeira Filho, educatedAt, Escola Politécnica de São Paulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Escola Politécnica de São Paulo
Context triple: [Manuel Carneiro de Sousa Bandeira Filho, educatedAt, Escola Politécnica de São Paulo]
  • A. Escola Politécnica da Universidade de São Paulo chosen
    Escola Politécnica da Universidade de São Paulo is one of Brazil’s most prestigious engineering schools, renowned for its rigorous academic programs, research output, and role in training leading engineers and technologists.
  • B. Escola Politécnica do Rio de Janeiro
    Escola Politécnica do Rio de Janeiro was a prominent Brazilian engineering school known for training influential engineers such as Heitor da Silva Costa.
  • C. Escola de Engenharia de Lorena
    Escola de Engenharia de Lorena is a Brazilian engineering school, now part of the University of São Paulo (USP), known for its programs and research in engineering and technology.
  • D. Federal University of São Carlos
    The Federal University of São Carlos is a prominent Brazilian public university known for its strong research output and high-quality programs in science, technology, and engineering.
  • E. São Carlos School of Engineering (EESC-USP)
    São Carlos School of Engineering (EESC-USP) is a prominent engineering school of the University of São Paulo, recognized for its strong research output and high-quality undergraduate and graduate programs in engineering and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.