Triple

T13221544
Position Surface form Disambiguated ID Type / Status
Subject Valnerina E314765 entity
Predicate contains P35 FINISHED
Object Cerreto di Spoleto E497700 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: Cerreto di Spoleto | Statement: [Valnerina, contains, Cerreto di Spoleto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cerreto di Spoleto
Context triple: [Valnerina, contains, Cerreto di Spoleto]
  • A. Cerreto di Spoleto chosen
    Cerreto di Spoleto is a small historic town and comune in the Umbria region of central Italy, known for its medieval architecture and scenic Apennine mountain setting.
  • B. Cerreto Sannita
    Cerreto Sannita is a historic town in southern Italy renowned for its Baroque architecture and traditional ceramics craftsmanship.
  • C. Monte Terminillo
    Monte Terminillo is a prominent Apennine mountain in central Italy, known for its ski resorts and hiking trails.
  • D. Monte Tuscolo
    Monte Tuscolo is a hill in the Alban Hills near modern Frascati in Italy, known for the ruins of the ancient Latin city of Tusculum and its historical villas and viewpoints over Rome.
  • E. Monte Martica
    Monte Martica is a mountain in the Lombardy region of northern Italy, known for its forested slopes and hiking trails overlooking the surrounding Varese area.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf581508190883033f0c961736a completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff2282fc8190bc5037ff62e594ff completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:18 p.m.