Triple

T15568535
Position Surface form Disambiguated ID Type / Status
Subject Azambuja E374178 entity
Predicate borderedBy P224 FINISHED
Object Rio Maior E522774 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: Rio Maior | Statement: [Azambuja, borderedBy, Rio Maior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Maior
Context triple: [Azambuja, borderedBy, Rio Maior]
  • A. Rio Maior chosen
    Rio Maior is a Portuguese city known for its traditional salt pans and location in the Ribatejo region.
  • B. Viseu
    Viseu is a historic inland city in central Portugal known for its well-preserved medieval center, wine production, and cultural heritage.
  • C. Ribeira de Seixe
    Ribeira de Seixe is a coastal river in southwestern Portugal that forms part of the natural border between the Algarve and Alentejo regions before flowing into the Atlantic Ocean near Odeceixe.
  • D. Ribeira Dom João
    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.
  • E. Sever do Vouga
    Sever do Vouga is a municipality in central Portugal known for its natural landscapes, waterfalls, and rural tourism within the Aveiro District.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56c231e0819083d6032eb21114b2 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:10 a.m.