Triple

T9734850
Position Surface form Disambiguated ID Type / Status
Subject Norici E236031 entity
Predicate neighbouringPeople P11274 FINISHED
Object Raeti E240344 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: Raeti | Statement: [Norici, neighbouringPeople, Raeti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raeti
Context triple: [Norici, neighbouringPeople, Raeti]
  • A. Raeti chosen
    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.
  • B. Nursia
    Nursia is an ancient town in central Italy, historically significant as the birthplace of Saint Benedict and known today as Norcia.
  • C. Lepontii
    The Lepontii were an ancient Celtic people who inhabited the Alpine region of what is now southern Switzerland and northern Italy.
  • D. Valtiberina
    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.
  • E. Vercellana
    Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
  • 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_69ca84d313e88190983ee6ffd0ef60d2 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9eebcec08190a9d4606fd26f2e19 completed April 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcc8d2288190b2a1dc3fe1185030 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:22 p.m.