Triple

T21457754
Position Surface form Disambiguated ID Type / Status
Subject Wahlkreis Rheintal E529385 entity
Predicate containsMunicipality P852 FINISHED
Object Marbach SG 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: Marbach SG | Statement: [Wahlkreis Rheintal, containsMunicipality, Marbach SG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marbach SG
Context triple: [Wahlkreis Rheintal, containsMunicipality, Marbach SG]
  • A. Marbach SG chosen
    Marbach SG is a municipality in the Swiss canton of St. Gallen, situated in the Rhine Valley near the border with Austria.
  • B. Arlesheim
    Arlesheim is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known for its historic cathedral and picturesque setting near Basel.
  • C. Kilchberg
    Kilchberg is a municipality on the shores of Lake Zurich in Switzerland, known for its scenic residential character and as the home of the Lindt & Sprüngli chocolate factory.
  • D. Pfäfflingen
    Pfäfflingen is a small village and district of the town Nördlingen in the Donau-Ries district of Bavaria, Germany.
  • E. Bäretswil
    Bäretswil is a rural municipality in the canton of Zurich in Switzerland, known for its scenic pre-Alpine landscape and small-village character.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ec254081909a703056022f4f45 completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:08 p.m.