Triple

T9146312
Position Surface form Disambiguated ID Type / Status
Subject Lake Starnberg E219462 entity
Predicate partOf P40 FINISHED
Object Alpine foreland E62353 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: Alpine foreland | Statement: [Lake Starnberg, partOf, Alpine foreland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpine foreland
Context triple: [Lake Starnberg, partOf, Alpine foreland]
  • A. Alps foothills chosen
    The Alps foothills are the lower, gently rolling upland regions that form the transitional zone between the flat plains and the high peaks of the Alps.
  • B. Seefeld Plateau
    The Seefeld Plateau is a high-altitude Alpine terrace in Tyrol, Austria, known for its scenic mountain landscapes and popular ski and cross-country skiing resorts.
  • C. Alpine
    Alpine is a small, affluent city at the base of the Wasatch Range in northern Utah, known for its scenic mountain views and residential character.
  • D. Alpine
    Alpine is a small city in the Big Bend region of West Texas, known as a gateway to nearby desert and mountain landscapes and home to Sul Ross State University.
  • E. Alpine
    Alpine is a French sports car manufacturer renowned for its lightweight performance vehicles and historic success in rally racing.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0482995cc81909bfc202cbab7f8a1 completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.