Triple

T6433484
Position Surface form Disambiguated ID Type / Status
Subject Piedmontese Baroque E129833 entity
Predicate hasNotableCity P2813 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: [Piedmontese Baroque, hasNotableCity, Stupinigi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stupinigi
Context triple: [Piedmontese Baroque, hasNotableCity, 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. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • E. Oreshek
    Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0693de6ac81909f3e330363a52102 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.