Triple

T21423001
Position Surface form Disambiguated ID Type / Status
Subject Serra de São Mamede Natural Park area E528481 entity
Predicate containsSettlement P847 FINISHED
Object Campo Maior 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: Campo Maior | Statement: [Serra de São Mamede Natural Park area, containsSettlement, Campo Maior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo Maior
Context triple: [Serra de São Mamede Natural Park area, containsSettlement, Campo Maior]
  • A. Campo Maior
    Campo Maior is a municipality in the Brazilian state of Piauí, known historically for its role in regional conflicts and its cultural traditions.
  • B. Campo Maior chosen
    Campo Maior is a historic town in Portugal’s Alentejo region, known for its coffee industry and colorful Flower Festival.
  • C. Morrinhos
    Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
  • D. Laranjal Paulista
    Laranjal Paulista is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional agricultural activities.
  • E. Itapecuru-Mirim
    Itapecuru-Mirim is a municipality in the Brazilian state of Maranhão, known for its historical colonial architecture and its location along the Itapecuru River.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee8139ce848190b812d6d07f1bdef8 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:48 p.m.