Triple

T15068663
Position Surface form Disambiguated ID Type / Status
Subject Leiria District E379818 entity
Predicate containsMunicipality P852 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: [Leiria District, containsMunicipality, Rio Maior]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rio Maior
Context triple: [Leiria District, containsMunicipality, 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fed31debb48190908d59178e67adb6 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:02 a.m.