Triple

T4392905
Position Surface form Disambiguated ID Type / Status
Subject Bern-Mittelland administrative district E99407 entity
Predicate contains P35 FINISHED
Object Zollikofen E401057 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: Zollikofen | Statement: [Bern-Mittelland administrative district, contains, Zollikofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zollikofen
Context triple: [Bern-Mittelland administrative district, contains, Zollikofen]
  • A. Zollikofen chosen
    Zollikofen is a municipality in the canton of Bern in Switzerland, functioning as a suburban community within the greater Bern metropolitan region.
  • B. Wurmberg
    Wurmberg is a prominent mountain in the Harz range of central Germany, popular for skiing, hiking, and panoramic views.
  • C. Zytglogge
    Zytglogge is a medieval clock tower and prominent historical landmark in Bern, Switzerland, known for its astronomical clock and ornate figurine displays.
  • D. Rossikon
    Rossikon is the Russian Orthodox St. Panteleimon Monastery on Mount Athos, historically associated with Russian monasticism and pilgrimage.
  • E. Köniz
    Köniz is a large suburban municipality in the canton of Bern, Switzerland, known for its proximity to the city of Bern and its mix of urban and rural landscapes.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352a8862481909dc67abf42be6928 completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135919d08190abab3858ff01bf11 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:19 p.m.