Triple

T18986362
Position Surface form Disambiguated ID Type / Status
Subject Martim Moniz E464567 entity
Predicate connectsTo P845 FINISHED
Object Baixa district 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: Baixa district | Statement: [Martim Moniz, connectsTo, Baixa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baixa district
Context triple: [Martim Moniz, connectsTo, Baixa district]
  • A. Baixa district chosen
    The Baixa district is Lisbon’s historic downtown area, known for its grand 18th-century Pombaline architecture, grid-pattern streets, and role as the city’s main commercial and tourist hub.
  • B. Consolação district
    Consolação district is a central neighborhood in São Paulo, Brazil, known for its cultural venues, busy commercial streets, and proximity to major educational institutions.
  • C. Prazeres district
    Prazeres district is an urban neighborhood and administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • D. Graça district
    Graça district is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional atmosphere, viewpoints over the city, and classic tram connections.
  • E. Cavaleiro district
    Cavaleiro district is a neighborhood-level administrative area within the coastal city of Jaboatão dos Guararapes in the state of Pernambuco, Brazil.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.