Triple

T21589293
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Sintra E532736 entity
Predicate seat P75 FINISHED
Object Town of Sintra 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: Town of Sintra | Statement: [Municipality of Sintra, seat, Town of Sintra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Town of Sintra
Context triple: [Municipality of Sintra, seat, Town of Sintra]
  • A. Sintra chosen
    Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
  • B. Centro Histórico de Sintra
    Centro Histórico de Sintra is the historic center of Sintra, Portugal, renowned for its romantic architecture, palaces, and UNESCO World Heritage status.
  • 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
    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. Taifa of Santarém
    The Taifa of Santarém was a small medieval Muslim principality in central Portugal that emerged during the fragmentation of Al-Andalus into independent taifa states.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadb25108190b7a3d2e8dfc8ae60 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.