Triple

T3641691
Position Surface form Disambiguated ID Type / Status
Subject Liskamm E77201 entity
Predicate hasPart P35 FINISHED
Object Liskamm East E77201 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: Liskamm East | Statement: [Liskamm, hasPart, Liskamm East]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liskamm East
Context triple: [Liskamm, hasPart, Liskamm East]
  • A. Liskamm chosen
    Liskamm is a prominent and notoriously corniced mountain in the Pennine Alps on the Swiss–Italian border, known for its sharp ridges and challenging climbing conditions.
  • B. Haugesunder
    A Haugesunder is a resident or native of the coastal city of Haugesund in western Norway.
  • C. Bickenhill
    Bickenhill is a village in the West Midlands of England, notable for its proximity to major transport hubs and urban centers including Birmingham.
  • D. Birkhill
    Birkhill is a village in the Angus council area of Scotland, known as a residential community near the city of Dundee.
  • E. 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.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc359a91481908aef1c022f45e55c completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48834d22081908687b250af859c6b completed March 13, 2026, 9:57 p.m.
Created at: March 8, 2026, 3:24 p.m.