Triple

T21645741
Position Surface form Disambiguated ID Type / Status
Subject Leimental E534207 entity
Predicate contains P35 FINISHED
Object Bottmingen NE NERFINISHED

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: Bottmingen | Statement: [Leimental, contains, Bottmingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bottmingen
Context triple: [Leimental, contains, Bottmingen]
  • A. Bottmingen chosen
    Bottmingen is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known in part as the longtime home of tennis champion Roger Federer.
  • B. Bremgarten
    Bremgarten is a historic Swiss town in the canton of Aargau, known for its well-preserved medieval old town and scenic riverside setting.
  • C. Duggingen
    Duggingen is a small municipality in the canton of Basel-Landschaft in northwestern Switzerland, situated in the Birs valley.
  • D. Remchingen
    Remchingen is a municipality in the Enzkreis district of Baden-Württemberg, Germany, situated along the Pfinz river between Karlsruhe and Pforzheim.
  • E. Gibswil
    Gibswil is a small village in the canton of Zurich, Switzerland, known as a gateway to the nearby Schnebelhorn mountain and its hiking and outdoor recreation areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5394c570819081dbbe7e0f98f7d3 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.