Triple

T22543966
Position Surface form Disambiguated ID Type / Status
Subject Eiderstedt Peninsula E557367 entity
Predicate contains P35 FINISHED
Object Tönning 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: Tönning | Statement: [Eiderstedt Peninsula, contains, Tönning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tönning
Context triple: [Eiderstedt Peninsula, contains, Tönning]
  • A. Tönning chosen
    Tönning is a historic town in northern Germany’s Schleswig-Holstein region, known for its strategic location on the Eider River and its former role as a fortified port.
  • B. Rudersberg
    Rudersberg is a small municipality in the German state of Baden-Württemberg, situated in the Rems-Murr district near the city of Stuttgart.
  • C. Kronshagen
    Kronshagen is a small municipality in the German state of Schleswig-Holstein, located near the city of Kiel.
  • D. Rolfshagen
    Rolfshagen is a locality in northern Germany historically notable as the place where Charles Frederick, Duke of Holstein-Gottorp, died.
  • E. Traneberg
    Traneberg is a residential district in western Stockholm, Sweden, known for its mid-20th-century housing and proximity to Lake Mälaren.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f33c9cc819086d098f36e4121dc completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.