Triple

T3608707
Position Surface form Disambiguated ID Type / Status
Subject Centro Region E76433 entity
Predicate containsCity P294 FINISHED
Object Castelo Branco E202053 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: Castelo Branco | Statement: [Centro Region, containsCity, Castelo Branco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelo Branco
Context triple: [Centro Region, containsCity, Castelo Branco]
  • A. Castelo Branco chosen
    Castelo Branco is a historic city in central Portugal known for its medieval castle, baroque gardens, and role as a regional administrative and cultural center.
  • B. Castelo Branco
    Castelo Branco is a civil parish on Faial Island in Portugal’s Azores archipelago, known for its rural landscape and coastal scenery.
  • C. Domingos Martins
    Domingos Martins is a municipality in the Brazilian state of Espírito Santo known for its strong German cultural heritage, reflected in its architecture, festivals, and local traditions.
  • D. Morrinhos
    Morrinhos is a municipality in the Brazilian state of Goiás, known for its agricultural economy and regional thermal springs.
  • E. Bragança Paulista
    Bragança Paulista is a municipality in southeastern Brazil known for its historical architecture, mild climate, and role as a regional commercial and educational center.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f02b3c081909705e05ac923f840 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:22 p.m.