Triple

T9423137
Position Surface form Disambiguated ID Type / Status
Subject Chapel of Theodelinda E227204 entity
Predicate locatedIn P40 FINISHED
Object Monza E107899 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: Monza | Statement: [Chapel of Theodelinda, locatedIn, Monza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monza
Context triple: [Chapel of Theodelinda, locatedIn, Monza]
  • A. Monza chosen
    Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
  • B. Mugello
    Mugello is a historic rural region in northern Tuscany, Italy, known for its rolling hills, medieval villages, and cultural heritage.
  • C. Imola
    Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
  • D. Autodromo Internazionale Enzo e Dino Ferrari
    Autodromo Internazionale Enzo e Dino Ferrari, commonly known as Imola, is a historic Italian motor racing circuit renowned for hosting major international events including Formula One and World Superbike races.
  • E. Secchia
    The Secchia is a river in northern Italy that flows through the Emilia-Romagna region and is one of the main tributaries contributing to the Po River system.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c27c8cc8190a11162c10c33b17e completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102cd82081909346e78bc05477b4 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:48 p.m.