Triple

T9173780
Position Surface form Disambiguated ID Type / Status
Subject Kronberg im Taunus E220143 entity
Predicate twinnedWith P1072 FINISHED
Object Ballenstedt E585391 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: Ballenstedt | Statement: [Kronberg im Taunus, twinnedWith, Ballenstedt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballenstedt
Context triple: [Kronberg im Taunus, twinnedWith, Ballenstedt]
  • A. Goldenstedt
    Goldenstedt is a municipality in Lower Saxony, Germany, known for its rural character and location within the District of Vechta.
  • B. Stedesdorf
    Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
  • C. Wolmirstedt chosen
    Wolmirstedt is a small town in the German state of Saxony-Anhalt, located near Magdeburg and known for its historical town center and regional administrative role.
  • D. Zerbst
    Zerbst is a historic town in Saxony-Anhalt, Germany, known as the birthplace of Catherine the Great and for its former role as a princely residence.
  • E. Oberwiederstedt
    Oberwiederstedt is a village in Saxony-Anhalt, Germany, best known as the birthplace of the Romantic poet and philosopher Novalis.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c0a91ec8190a97002660b66aabe completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:22 p.m.