Triple

T22565199
Position Surface form Disambiguated ID Type / Status
Subject Havelte E557929 entity
Predicate locatedNear P294 FINISHED
Object Havelterberg hill 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: Havelterberg hill | Statement: [Havelte, locatedNear, Havelterberg hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havelterberg hill
Context triple: [Havelte, locatedNear, Havelterberg hill]
  • A. Havelterberg chosen
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • B. Telegrafenberg hill
    Telegrafenberg hill is a historic science campus in Potsdam, Germany, known for hosting several prominent research institutes and observatories.
  • C. Špilberk Hill
    Špilberk Hill is a prominent elevation in Brno, Czech Republic, best known as the site of the historic Špilberk Castle overlooking the city.
  • D. Humberg hill
    Humberg hill is a wooded elevation near Kaiserslautern, Germany, known as a local recreation area crowned by the historic Humberg Tower.
  • E. Bärenstein hill
    Bärenstein hill is a prominent natural elevation near Plauen in Saxony, Germany, known for its scenic views over the surrounding Vogtland landscape.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa9ebc8819098d74fb41e14bd7e completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.