Triple

T7790956
Position Surface form Disambiguated ID Type / Status
Subject Maio E180176 entity
Predicate hasSettlement P1068 FINISHED
Object Ribeira Dom João E390404 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: Ribeira Dom João | Statement: [Maio, hasSettlement, Ribeira Dom João]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ribeira Dom João
Context triple: [Maio, hasSettlement, Ribeira Dom João]
  • A. Ribeira Dom João chosen
    Ribeira Dom João is a small coastal village located on the island of Maio in Cape Verde, known for its quiet rural character and Atlantic shoreline.
  • B. Ribeira
    Ribeira is a historic riverside district in Porto, Portugal, known for its narrow medieval streets, colorful buildings, and vibrant waterfront atmosphere along the Douro River.
  • C. Rio Maior
    Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
  • D. Rio de Moinhos
    Rio de Moinhos is a civil parish in the municipality of Abrantes in central Portugal, known for its rural character and traditional Portuguese village life.
  • E. Ribeira da Torre
    Ribeira da Torre is a scenic, steep-sided valley and river gorge on the island of Santo Antão in Cape Verde, known for its dramatic landscapes and terraced agriculture.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13b38e708190a688ce4effbf7c48 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.