Triple

T9096965
Position Surface form Disambiguated ID Type / Status
Subject Visp E218049 entity
Predicate gatewayTo P423 FINISHED
Object Saastal E429926 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: Saastal | Statement: [Visp, gatewayTo, Saastal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saastal
Context triple: [Visp, gatewayTo, Saastal]
  • A. Saastal chosen
    Saastal is a high Alpine valley in the Swiss canton of Valais, known for its dramatic peaks, glaciers, and popular mountain resorts.
  • B. Piershil
    Piershil is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • D. Stutterheim
    Stutterheim is a small town in South Africa’s Eastern Cape province, known for its forestry, agriculture, and scenic setting near the Amathole Mountains.
  • E. Schistolais
    Schistolais is a small genus of African warblers known for their insectivorous habits and association with woodland and forest-edge habitats.
  • 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc96b7d0d48190a3b15f35bef087e3 completed April 1, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0181a9ae88190ab80d4e80e919f42 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.