Triple

T16448453
Position Surface form Disambiguated ID Type / Status
Subject Bormio E399491 entity
Predicate hasThermalBath P68523 FINISHED
Object Bormio Terme E399491 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: Bormio Terme | Statement: [Bormio, hasThermalBath, Bormio Terme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bormio Terme
Context triple: [Bormio, hasThermalBath, Bormio Terme]
  • A. Bormio chosen
    Bormio is a historic alpine town in northern Italy renowned for its ski resorts, thermal baths, and proximity to major mountain passes in the Stelvio National Park.
  • B. Montegrotto Terme
    Montegrotto Terme is a spa town in northern Italy known for its thermal baths and archaeological remains from the ancient Venetic and Roman periods.
  • C. Bardonecchia
    Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
  • D. Bagni di Vinadio
    Bagni di Vinadio is a historic thermal spa village in the Italian Alps, renowned for its hot springs and mountain scenery.
  • E. San Pellegrino Terme
    San Pellegrino Terme is an Italian spa town in Lombardy renowned for its thermal baths and mineral water.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084aa47408190abe2ffaab84cdd85 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:10 a.m.