Triple

T17367933
Position Surface form Disambiguated ID Type / Status
Subject Visp District E422231 entity
Predicate contains P35 FINISHED
Object Gampel E474937 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: Gampel | Statement: [Visp District, contains, Gampel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gampel
Context triple: [Visp District, contains, Gampel]
  • A. Gampel chosen
    Gampel is a municipality in the canton of Valais in southwestern Switzerland, known for its industrial presence and Alpine setting.
  • B. Oglesby
    Oglesby is a surname derived from the Scottish Clan Ogilvy, historically associated with that clan’s lineage and heritage.
  • C. Breese
    Breese is a surname of likely English origin borne by individuals such as Elizabeth Ann Finley Breese Morse.
  • D. Ville Haute
    Ville Haute is the historic city-center district of Luxembourg City, known for its medieval fortifications, government buildings, and main shopping streets.
  • E. Ville Haute
    Ville Haute is the historic upper town of Bar-le-Duc, known for its old architecture and elevated position overlooking the rest of the city.
  • 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.