Triple

T1534206
Position Surface form Disambiguated ID Type / Status
Subject Fréjus Rail Tunnel E32513 entity
Predicate connects P390 FINISHED
Object Bardonecchia E31993 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: Bardonecchia | Statement: [Fréjus Rail Tunnel, connects, Bardonecchia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bardonecchia
Context triple: [Fréjus Rail Tunnel, connects, Bardonecchia]
  • A. Bardonecchia chosen
    Bardonecchia is an alpine town in northwestern Italy known as a ski resort and transport hub near the French border in the Susa Valley.
  • B. La Thuile
    La Thuile is a mountain village and ski resort in northwestern Italy known for its extensive slopes and cross-border ski area linked with La Rosière in France.
  • C. Val Gardena
    Val Gardena is a renowned valley in the Dolomites of northern Italy, famous for its alpine scenery, ski resorts, and Ladin-speaking communities.
  • D. Ampezzo
    Ampezzo is a town in the Dolomite region of northern Italy known for its Ladin cultural and linguistic heritage.
  • E. Cervinia
    Cervinia is a popular Italian Alpine village and ski resort at the foot of the Matterhorn, known for its extensive high-altitude slopes and links to Zermatt in Switzerland.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad295da0988190b1dc171bcdfe4d71 completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.