Triple

T17803233
Position Surface form Disambiguated ID Type / Status
Subject Peter III of Portugal E444487 entity
Predicate deathPlace P21 FINISHED
Object Queluz 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: Queluz | Statement: [Peter III of Portugal, deathPlace, Queluz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queluz
Context triple: [Peter III of Portugal, deathPlace, Queluz]
  • A. Mafra
    Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
  • B. Sintra
    Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
  • C. Nova Sintra
    Nova Sintra is the main town and administrative center of the island of Brava in Cape Verde, known for its colonial architecture and mountainous setting.
  • D. Queluz, Portugal chosen
    Queluz, Portugal is a historic town near Lisbon best known for its 18th-century royal palace, a former residence of the Portuguese royal family.
  • E. Sabrosa
    Sabrosa is a small municipality in Portugal’s Douro region, historically notable as the birthplace of explorer Ferdinand Magellan.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880171608190be2088c7a387bfb7 completed April 19, 2026, 7:45 a.m.
Created at: April 10, 2026, 10:13 a.m.