Triple

T16617708
Position Surface form Disambiguated ID Type / Status
Subject Alpe di Catenaia E403736 entity
Predicate separates P1175 FINISHED
Object Valtiberina E712535 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: Valtiberina | Statement: [Alpe di Catenaia, separates, Valtiberina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valtiberina
Context triple: [Alpe di Catenaia, separates, Valtiberina]
  • A. Valtiberina chosen
    Valtiberina is a valley in central Italy, primarily in Tuscany and partly in Umbria, known for its scenic landscapes and historical towns along the upper Tiber River.
  • B. Mucia
    Mucia was an ancient Roman noble family (gens) to which the patrician Mucia Tertia belonged.
  • C. Raeti
    The Raeti were an ancient Alpine people of central Europe, known from Roman sources for inhabiting the mountainous regions that later formed the Roman province of Raetia.
  • D. Vercellana
    Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
  • E. Vibia
    Vibia was a Roman woman of the 2nd century, known as the daughter of Emperor Marcus Aurelius and a member of the Nerva–Antonine imperial dynasty.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007daef18481908c3628a3466300ce completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:17 a.m.