Triple

T15720462
Position Surface form Disambiguated ID Type / Status
Subject Queen Maria Pia of Portugal E381078 entity
Predicate placeOfDeath P21 FINISHED
Object Stupinigi E503868 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: Stupinigi | Statement: [Queen Maria Pia of Portugal, placeOfDeath, Stupinigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stupinigi
Context triple: [Queen Maria Pia of Portugal, placeOfDeath, Stupinigi]
  • A. Stupinigi chosen
    Stupinigi is a locality near Turin in northern Italy best known for the Palazzina di Caccia di Stupinigi, a former royal hunting lodge of the House of Savoy and a UNESCO World Heritage Site.
  • B. Stupava
    Stupava is a small town in western Slovakia known for its historic center, cultural festivals, and proximity to the capital city of Bratislava.
  • C. Stignano
    Stignano is a small town in the Calabria region of southern Italy, known as the birthplace of the early Renaissance humanist Coluccio Salutati.
  • D. Bronnitsy
    Bronnitsy is a historic town in Russia known for its jewelry-making traditions and its location southeast of Moscow along the Moskva River.
  • E. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb0b51081908e652ec4992296fa completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff75852cf88190be054160d5cbc675 completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:45 a.m.