Triple

T9123536
Position Surface form Disambiguated ID Type / Status
Subject Teutoburg Forest region E218916 entity
Predicate contains P35 FINISHED
Object Externsteine E645999 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: Externsteine | Statement: [Teutoburg Forest region, contains, Externsteine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Externsteine
Context triple: [Teutoburg Forest region, contains, Externsteine]
  • A. Bad Harzburg
    Bad Harzburg is a German spa and resort town on the northern edge of the Harz Mountains, known for its thermal baths, hiking trails, and historic castle ruins.
  • B. Syrgenstein
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • C. Obenmarspforten
    Obenmarspforten is a street in central Cologne, Germany, known for hosting cultural landmarks such as the Wallraf-Richartz Museum.
  • D. Błędne Skały chosen
    Błędne Skały is a labyrinth of unusual sandstone rock formations and narrow passages in Poland’s Table Mountains, popular for hiking and sightseeing.
  • E. The Bravern
    The Bravern is a luxury mixed-use complex in downtown Bellevue, Washington, featuring high-end retail, dining, and residential spaces.
  • 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_69ca83dddd548190983b96c664f7f367 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8b5fa188190be6465e74cf26915 completed April 1, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0308ff628819083f02bf71eb40c5b completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.