Triple

T16386225
Position Surface form Disambiguated ID Type / Status
Subject Lysgletscher E397928 entity
Predicate locatedIn P40 FINISHED
Object Valais E13342 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: Valais | Statement: [Lysgletscher, locatedIn, Valais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valais
Context triple: [Lysgletscher, locatedIn, Valais]
  • A. Valais chosen
    Valais is a mountainous canton in southwestern Switzerland known for its Alpine scenery, vineyards, and popular ski resorts such as Zermatt and Verbier.
  • B. Landes
    Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
  • C. Illanun
    Illanun is an alternative name for the Iranun, a seafaring Austronesian ethnic group from the southern Philippines and parts of Sabah known historically for maritime trade and raiding.
  • D. Tartumaa
    Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
  • E. Vallet
    Vallet is a small French commune known for its wine production in the Loire Valley region of western France.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263d260081909db9ac6016d5738a completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356cf44081909133b599cfe9ed4a completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.