Triple

T23014875
Position Surface form Disambiguated ID Type / Status
Subject Devil’s Mountain E573003 entity
Predicate hasGermanName P1435 FINISHED
Object Teufelsberg 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: Teufelsberg | Statement: [Devil’s Mountain, hasGermanName, Teufelsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teufelsberg
Context triple: [Devil’s Mountain, hasGermanName, Teufelsberg]
  • A. Teufelsberg chosen
    Teufelsberg is an artificial hill in Berlin built from World War II rubble, best known for its former U.S. listening station and panoramic city views.
  • B. Neroberg hill
    Neroberg hill is a prominent wooded elevation and recreational area in Wiesbaden, Germany, known for its scenic views, historic Nerobergbahn funicular, and landmark Russian Orthodox Church.
  • C. Berg am Laim
    Berg am Laim is a district in the east of Munich, Germany, known for its mix of residential areas, industrial sites, and good transport connections to the city center.
  • D. Godesberg hill
    Godesberg hill is a prominent elevation in Bonn, Germany, known for its historic Godesburg castle ruins overlooking the surrounding Rhine valley.
  • E. Seelow Heights
    Seelow Heights is a strategically important ridge east of Berlin in Germany, known as the site of one of the final major battles on the Eastern Front during World War II.
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e3c0e08190a7ac747b056ec3ca completed April 29, 2026, 4:06 a.m.
Created at: April 17, 2026, 3:51 p.m.