Triple

T5952529
Position Surface form Disambiguated ID Type / Status
Subject Westerveld E132431 entity
Predicate contains P35 FINISHED
Object Havelterberg E146581 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: Havelterberg | Statement: [Westerveld, contains, Havelterberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havelterberg
Context triple: [Westerveld, contains, Havelterberg]
  • 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. Beerenberg
    Beerenberg is an active stratovolcano and the northernmost subaerial volcano on Earth, dominating the Arctic island of Jan Mayen in the North Atlantic.
  • C. Lutterberg
    Lutterberg is a village in Lower Saxony, Germany, historically notable as the site of the 1758 Battle of Lutterberg during the Seven Years' War.
  • D. Hornsberg
    Hornsberg is a waterfront residential and commercial district on the island of Kungsholmen in central Stockholm, Sweden.
  • E. Telegrafenberg hill
    Telegrafenberg hill is a historic science campus in Potsdam, Germany, known for hosting several prominent research institutes and observatories.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03983b8848190afaa37f35c95bad6 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3d1801c819093dc43dc5a525796 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.