Triple

T19228532
Position Surface form Disambiguated ID Type / Status
Subject Rua Ivens E480805 entity
Predicate hasNearbyLandmark P2064 FINISHED
Object Chiado 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: Chiado | Statement: [Rua Ivens, hasNearbyLandmark, Chiado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiado
Context triple: [Rua Ivens, hasNearbyLandmark, Chiado]
  • A. Chiado chosen
    Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
  • B. Cantanhede
    Cantanhede is a Portuguese municipality in the Centro Region known for its wine production, agricultural activity, and proximity to the Atlantic coast.
  • C. Lisboa Sete Rios
    Lisboa Sete Rios is a major railway and bus interchange in Lisbon, Portugal, serving regional and suburban train lines as well as long-distance coach services.
  • D. Neiva
    Neiva is a major city in southwestern Colombia known as the economic and cultural center of the upper Magdalena River valley.
  • E. Barretos
    Barretos is a municipality in the Brazilian state of São Paulo, widely known for hosting one of the largest annual rodeo festivals in Latin America.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa9b167881908fc46d46c2d53423 completed April 20, 2026, 10:06 a.m.
Created at: April 10, 2026, 1:25 p.m.