Triple

T4392907
Position Surface form Disambiguated ID Type / Status
Subject Bern-Mittelland administrative district E99407 entity
Predicate contains P35 FINISHED
Object Kirchlindach E423157 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: Kirchlindach | Statement: [Bern-Mittelland administrative district, contains, Kirchlindach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirchlindach
Context triple: [Bern-Mittelland administrative district, contains, Kirchlindach]
  • A. Kirchlindach chosen
    Kirchlindach is a Swiss municipality in the canton of Bern, known for its rural character and proximity to the city of Bern.
  • B. Pleiskirchen
    Pleiskirchen is a small municipality in Bavaria, Germany, known as the birthplace of German Catholic priest and musician Georg Ratzinger, brother of Pope Benedict XVI.
  • C. Eggenfelden
    Eggenfelden is a town in southeastern Germany known as a local commercial and cultural center within the region of Lower Bavaria.
  • D. Taufkirchen
    Taufkirchen is a municipality in Bavaria, Germany, known for its strong aerospace and defense industry presence.
  • E. Rottach-Egern
    Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
  • 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_69be5c70e6cc8190b447d3bd1f578aae completed March 21, 2026, 8:53 a.m.
Created at: March 12, 2026, 11:19 p.m.