Triple

T17367912
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Visperterminen E777919 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: Visperterminen | Statement: [Visp District, contains, Visperterminen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visperterminen
Context triple: [Visp District, contains, Visperterminen]
  • A. Visperterminen chosen
    Visperterminen is a Swiss mountain municipality in the canton of Valais, known for its high-altitude vineyards and traditional alpine village character.
  • B. Vitasta
    Vitasta is the ancient Sanskrit name for the Jhelum River, a historically significant river of the Kashmir region frequently mentioned in Vedic and classical Indian texts.
  • C. Vahalis
    Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
  • D. Vahto
    Vahto is a small village and former municipality in Southwest Finland, now part of the town of Rusko.
  • E. Pervalka
    Pervalka is a small, tranquil fishing village and resort settlement on Lithuania’s Curonian Spit, known for its scenic dunes, wooden houses, and quiet coastal atmosphere.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a661fc08190a4c386125bddb16b completed April 19, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:44 a.m.