Triple

T23400572
Position Surface form Disambiguated ID Type / Status
Subject Niterói coastline E559492 entity
Predicate hasCityDistrictAlong P152116 FINISHED
Object São Francisco E913875 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: São Francisco | Statement: [Niterói coastline, hasCityDistrictAlong, São Francisco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: São Francisco
Context triple: [Niterói coastline, hasCityDistrictAlong, São Francisco]
  • A. São Francisco
    São Francisco is a small municipality in the state of Paraíba, Brazil, located within the Sousa microregion in the country’s Northeast.
  • B. São Francisco chosen
    São Francisco is a locality or neighborhood within the municipality of Alcochete in Portugal, known for its residential character and proximity to the Tagus estuary.
  • C. Barra de São Francisco
    Barra de São Francisco is a municipality in the northwest of the Brazilian state of Espírito Santo, known for its granite mining and agricultural activities.
  • D. San Francisco del Mar
    San Francisco del Mar is a coastal town in Oaxaca, Mexico, known as one of the principal communities of the Huave (Ikoots) Indigenous people.
  • E. San Francisco Solano
    San Francisco Solano was a 17th-century Spanish Franciscan missionary and saint known for his evangelizing work in South America, especially in present-day Peru and Argentina.
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dedfcc8190ab93cec3c3d15c53 completed April 29, 2026, 6:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c8241fd2c8190a4eb3f2d9810ca3e completed May 19, 2026, 3:31 p.m.
Created at: April 17, 2026, 5:37 p.m.