Triple

T23498134
Position Surface form Disambiguated ID Type / Status
Subject municipality of Hardenberg E571758 entity
Predicate hasAdministrativeCenter P1474 FINISHED
Object Hardenberg 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: Hardenberg | Statement: [municipality of Hardenberg, hasAdministrativeCenter, Hardenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hardenberg
Context triple: [municipality of Hardenberg, hasAdministrativeCenter, Hardenberg]
  • A. Hardenberg chosen
    Hardenberg is a municipality in the Dutch province of Overijssel, known for its rural landscapes, small towns, and location near the German border.
  • B. Udenhausen
    Udenhausen is a district of the town of Boppard in the Rhineland-Palatinate region of western Germany.
  • C. Fahrenkopf
    Fahrenkopf is a surname most prominently associated with Frank J. Fahrenkopf Jr., an American lawyer, lobbyist, and former chairman of the Republican National Committee.
  • D. Hüttenberg
    Hüttenberg is a municipality in the central German state of Hesse, known for its rural character and proximity to the city of Wetzlar.
  • E. Kaltenborn
    Kaltenborn is a small municipality in the Ahrweiler district of Rhineland-Palatinate, western Germany, situated in the Eifel region.
  • 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7e184ec8190aff3677c9b00a8f2 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:06 p.m.