Triple

T8797218
Position Surface form Disambiguated ID Type / Status
Subject Hochtaunus E209318 entity
Predicate contains P35 FINISHED
Object Kleiner Feldberg E760647 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: Kleiner Feldberg | Statement: [Hochtaunus, contains, Kleiner Feldberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleiner Feldberg
Context triple: [Hochtaunus, contains, Kleiner Feldberg]
  • A. Kleiner Feldberg chosen
    Kleiner Feldberg is a secondary summit in the Taunus mountain range in Hesse, Germany, known for its elevation and nearby scientific and meteorological facilities.
  • B. Großer Feldberg
    Großer Feldberg is a prominent mountain in Hesse, Germany, known for its scenic views, hiking trails, and telecommunications facilities.
  • C. Witzmannsberg
    Witzmannsberg is a small rural municipality in the Bavarian region of Lower Bavaria, Germany, known for its scenic countryside and traditional village character.
  • D. Bärenkopf
    Bärenkopf is a mountain peak in the Austrian Alps that forms part of the Glockner Group.
  • E. Feldberg
    Feldberg is the tallest mountain in Germany’s Black Forest region, known for its scenic landscapes and popular hiking and skiing opportunities.
  • 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_69ca836240888190a62b262e56a69d2f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fa370d08190885ef65e3a3e56d3 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfba0313d88190b646dbd34b5c424a completed April 3, 2026, 1 p.m.
Created at: March 30, 2026, 6:44 p.m.