Triple

T17847230
Position Surface form Disambiguated ID Type / Status
Subject Weißer See E445696 entity
Predicate locatedIn P40 FINISHED
Object Weißensee NE NERFINISHED

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: Weißensee | Statement: [Weißer See, locatedIn, Weißensee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weißensee
Context triple: [Weißer See, locatedIn, Weißensee]
  • A. Weißensee chosen
    Weißensee is a locality in Berlin known for its historic lake, residential neighborhoods, and cultural institutions, situated within the borough of Pankow.
  • B. Weissensee
    Weissensee is a picturesque alpine lake and surrounding region in southern Austria, renowned for its clear waters, outdoor recreation, and unspoiled natural landscape.
  • C. Ebensee
    Ebensee is an Austrian town in the Salzkammergut region, known for its lakeside setting amid the Alps and its historical significance including a former World War II concentration camp site.
  • D. Sämtisersee
    Sämtisersee is a picturesque alpine lake in the Swiss Alpstein massif, known for its scenic hiking surroundings and traditional mountain pastures.
  • E. Küssnachtersee
    Küssnachtersee is a narrow northern arm of Lake Lucerne in central Switzerland, bordered by picturesque lakeside villages and surrounded by gentle pre-Alpine hills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffb35248190a80a428686e06d87 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.