Triple

T17367908
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Lalden E777918 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: Lalden | Statement: [Visp District, contains, Lalden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalden
Context triple: [Visp District, contains, Lalden]
  • A. Lalden chosen
    Lalden is a small municipality in the canton of Valais in southwestern Switzerland, situated in the Rhône valley near the town of Visp.
  • B. Littondale
    Littondale is a scenic side valley of the Yorkshire Dales in North Yorkshire, England, known for its traditional villages, limestone scenery, and tranquil rural character.
  • C. Dahlbury
    Dahlbury is a company known for its commercial sponsorship of sporting events such as the Coronation Cup.
  • D. Shudehill
    Shudehill is a central district in Manchester, England, known for its major bus and tram interchange and proximity to the city’s main shopping and commercial areas.
  • E. Latchford
    Latchford is a small town in northeastern Ontario, Canada, known for its historic logging roots and scenic location along the Montreal River.
  • 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.