Triple

T3569696
Position Surface form Disambiguated ID Type / Status
Subject Polytechnic University of Turin E75537 entity
Predicate hasCampus P116 FINISHED
Object Mirafiori campus E93682 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: Mirafiori campus | Statement: [Polytechnic University of Turin, hasCampus, Mirafiori campus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirafiori campus
Context triple: [Polytechnic University of Turin, hasCampus, Mirafiori campus]
  • A. Mirafiori plant chosen
    The Mirafiori plant is a major automotive manufacturing complex in Turin, Italy, historically known as one of Europe’s largest and most important car factories.
  • B. Galleria Ferrari
    Galleria Ferrari is an automotive-themed exhibition space showcasing Ferrari’s history, cars, and racing heritage.
  • C. Piazzale Europa campus
    Piazzale Europa campus is the main hillside campus of the University of Trieste, hosting many of its central academic and administrative facilities with panoramic views over the city and the Gulf of Trieste.
  • D. Monza
    Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
  • E. Torino Porta Susa
    Torino Porta Susa is a major high-speed and regional railway hub in Turin, Italy, serving as one of the city’s principal train stations.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0c1ecb081909051bcc1f38eea31 completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbb3383c8190b14845a7de162502 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.