Triple

T15570409
Position Surface form Disambiguated ID Type / Status
Subject Estremadura Province (Portugal) E374223 entity
Predicate contains P35 FINISHED
Object Mafra E462967 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: Mafra | Statement: [Estremadura Province (Portugal), contains, Mafra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mafra
Context triple: [Estremadura Province (Portugal), contains, Mafra]
  • A. Mafra chosen
    Mafra is a Portuguese town best known for its monumental baroque National Palace and basilica, extensively built using local lioz limestone.
  • B. 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.
  • C. Mafra National Palace
    Mafra National Palace is a vast Baroque royal complex in Mafra, Portugal, renowned for its grand basilica, monumental convent, and one of Europe’s most important historic libraries.
  • D. Sintra
    Sintra is a historic Portuguese town near Lisbon, renowned for its romantic 19th-century palaces, castles, and lush hillside landscapes.
  • E. Vila Real
    Vila Real is a historic city in northern Portugal known for its scenic Douro Valley surroundings and notable Baroque architecture.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.