Triple

T18550504
Position Surface form Disambiguated ID Type / Status
Subject Oberland E453360 entity
Predicate containsAdministrativeUnit P3892 FINISHED
Object Triesenberg 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: Triesenberg | Statement: [Oberland, containsAdministrativeUnit, Triesenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triesenberg
Context triple: [Oberland, containsAdministrativeUnit, Triesenberg]
  • A. Triesenberg chosen
    Triesenberg is a mountainous municipality in Liechtenstein known for its traditional Walser culture and scenic alpine landscapes.
  • B. Reinsberg
    Reinsberg is a municipality in the German state of Saxony, located within the administrative district of Mittelsachsen.
  • C. Geiersthal
    Geiersthal is a small municipality in the Bavarian Forest region of southeastern Germany.
  • D. Landensberg
    Landensberg is a small municipality in the Bavarian region of southern Germany.
  • E. Johannisberg
    Johannisberg is a prominent peak in the Austrian Alps, located in the High Tauern range near the Grossglockner.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53800c0fc819097782f1e81574598 completed April 19, 2026, 8:16 p.m.
Created at: April 10, 2026, 11:38 a.m.