Triple

T22442910
Position Surface form Disambiguated ID Type / Status
Subject Abrantes Municipality E554797 entity
Predicate partOf P40 FINISHED
Object Portuguese Republic NE NERFINISHED

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: Portuguese Republic | Statement: [Abrantes Municipality, partOf, Portuguese Republic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portuguese Republic
Context triple: [Abrantes Municipality, partOf, Portuguese Republic]
  • A. Portugal chosen
    Portugal is a Southern European country on the Iberian Peninsula, known for its maritime history, Atlantic coastline, and role as one of the world’s earliest global colonial powers.
  • B. Kingdom of Portugal
    The Kingdom of Portugal was a historic sovereign state in Western Europe that emerged in the 12th century and became a major maritime and colonial power during the Age of Discovery.
  • C. Portogruaro
    Portogruaro is a historic town in northeastern Italy’s Veneto region, known for its medieval architecture and canals.
  • D. Portela
    Portela is a small settlement located within the caldera of Pico do Fogo volcano on Fogo Island in Cape Verde.
  • E. Portela
    Portela is a residential parish in the municipality of Loures, within the Lisbon metropolitan area of Portugal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15ae40f9081908674015beb33f74e completed April 29, 2026, 1:12 a.m.
Created at: April 16, 2026, 8:47 p.m.