Triple

T12313251
Position Surface form Disambiguated ID Type / Status
Subject São Paulo State University E293534 entity
Predicate hasCampusIn P4623 FINISHED
Object Franca E293506 NE FINISHED

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: Franca | Statement: [São Paulo State University, hasCampusIn, Franca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franca
Context triple: [São Paulo State University, hasCampusIn, Franca]
  • A. Franca chosen
    Franca is a city in the northeastern part of the Brazilian state of São Paulo, known historically for its leather and footwear industry.
  • B. Fransat
    Fransat is a French free-to-air satellite television platform that provides access to the national digital terrestrial TV channels across France.
  • C. Włochy
    Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
  • D. Allemanda
    Allemanda is the opening, stately dance movement in Baroque suites, often characterized by a moderate tempo and flowing, continuous motion.
  • E. Italeni
    Italeni is the site in present-day South Africa where a notable 1838 battle occurred between Voortrekker forces and Zulu warriors during the era of the Great Trek.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:53 p.m.