Triple

T17391340
Position Surface form Disambiguated ID Type / Status
Subject Royal National City Park E422829 entity
Predicate hasPart P35 FINISHED
Object Frescati 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: Frescati | Statement: [Royal National City Park, hasPart, Frescati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frescati
Context triple: [Royal National City Park, hasPart, Frescati]
  • A. Frescati chosen
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • B. Frassinoro
    Frassinoro is a small municipality in the Emilia-Romagna region of northern Italy, known for its Apennine mountain landscapes and historic Benedictine abbey.
  • C. Valascia
    Valascia was an iconic open-air ice hockey arena in Ambrì, Switzerland, renowned for its passionate atmosphere as the longtime home of HC Ambrì-Piotta.
  • D. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • E. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43aba5398819096846bdeefde0788 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.