Triple

T8600841
Position Surface form Disambiguated ID Type / Status
Subject Illerkirchberg E203669 entity
Predicate hasSubdivision P747 FINISHED
Object Oberkirchberg E183967 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: Oberkirchberg | Statement: [Illerkirchberg, hasSubdivision, Oberkirchberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberkirchberg
Context triple: [Illerkirchberg, hasSubdivision, Oberkirchberg]
  • A. Oberkirchberg chosen
    Oberkirchberg is a village in the German state of Baden-Württemberg, known historically as the birthplace of Wehrmacht field marshal Wilhelm List.
  • B. Stechelberg
    Stechelberg is a small Swiss village at the end of the Lauterbrunnen Valley, known for its dramatic alpine scenery and access to hiking and cable cars into the surrounding mountains.
  • C. Günterstalbach
    Günterstalbach is a small stream in the Black Forest region of Germany that flows through the district of Günterstal before joining the river Breg.
  • D. Wiesensteig
    Wiesensteig is a small historic town in the Swabian Alps region of Baden-Württemberg in southern Germany.
  • E. Bischofswiesen
    Bischofswiesen is a municipality in the Bavarian Alps of southeastern Germany, known for its scenic mountain landscapes and proximity to Berchtesgaden.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc839cdc819093c3cd0e44f173a2 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:24 p.m.