Triple

T22859685
Position Surface form Disambiguated ID Type / Status
Subject Lorze River E566879 entity
Predicate flowsThrough P225 FINISHED
Object Lorzentobel NE NERFINISHED

How this triple was built (3 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: Lorzentobel | Statement: [Lorze River, flowsThrough, Lorzentobel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorzentobel
Context triple: [Lorze River, flowsThrough, Lorzentobel]
  • A. Brigachtal
    Brigachtal is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near the Black Forest.
  • B. Mattighofen
    Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
  • C. Safiental
    Safiental is a mountainous municipality in the Swiss canton of Graubünden, known for its remote alpine valleys, traditional Walser settlements, and unspoiled natural landscapes.
  • D. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorzentobel
Target entity description: Lorzentobel is a steep, narrow gorge in the Swiss canton of Zug carved by the Lorze River and known for its dramatic cliffs and scenic hiking paths.
  • A. Brigachtal
    Brigachtal is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near the Black Forest.
  • B. Mattighofen
    Mattighofen is a small town in Upper Austria known for being the headquarters of the motorcycle manufacturer KTM.
  • C. Safiental
    Safiental is a mountainous municipality in the Swiss canton of Graubünden, known for its remote alpine valleys, traditional Walser settlements, and unspoiled natural landscapes.
  • D. Wyssachen
    Wyssachen is a small rural municipality and village located in the Emmental region of the canton of Bern, Switzerland.
  • E. Bettlach
    Bettlach is a Swiss municipality located in the canton of Solothurn.
  • F. None of above. chosen

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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ec082c08190943e6cfc2e25c5cc completed April 29, 2026, 3:45 a.m.
Created at: April 17, 2026, 3:37 p.m.