Triple

T7259666
Position Surface form Disambiguated ID Type / Status
Subject Southern Brazil E159616 entity
Predicate hasLandmark P105 FINISHED
Object Itajaí Valley E280503 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: Itajaí Valley | Statement: [Southern Brazil, hasLandmark, Itajaí Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Itajaí Valley
Context triple: [Southern Brazil, hasLandmark, Itajaí Valley]
  • A. Vale do Itajaí chosen
    Vale do Itajaí is a region in the Brazilian state of Santa Catarina known for its strong German-Brazilian cultural heritage, reflected in its architecture, festivals, and local traditions.
  • B. Itatiba
    Itatiba is a municipality in southeastern Brazil known for its quality of life and proximity to the metropolitan region of Campinas in the state of São Paulo.
  • C. Alcântara Valley
    Alcântara Valley is a river valley area in Lisbon, Portugal, known for its historic industrial zone and transport corridors connecting the city to its western outskirts.
  • D. Jaguaribe River valley
    The Jaguaribe River valley is a fertile and strategically important river basin in the state of Ceará, Brazil, known for its irrigated agriculture and semi-arid landscapes.
  • E. Embu
    Embu is a town in central Kenya that serves as a commercial and administrative hub on the southeastern slopes of Mount Kenya.
  • 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_69c68838f9948190875fd60b2351230c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eac5311c819094fc6880f3152813 completed March 27, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3bda4808190810f2d170cb693b9 completed March 28, 2026, 1:12 p.m.
Created at: March 27, 2026, 2:57 p.m.