Triple

T21016338
Position Surface form Disambiguated ID Type / Status
Subject Reinach (Basel-Landschaft) E517686 entity
Predicate hasTwinTown P919 FINISHED
Object Moudon 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: Moudon | Statement: [Reinach (Basel-Landschaft), hasTwinTown, Moudon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moudon
Context triple: [Reinach (Basel-Landschaft), hasTwinTown, Moudon]
  • A. Moudon chosen
    Moudon is a historic town and former district capital in the canton of Vaud, Switzerland, known for its medieval old town and location in the Broye valley.
  • B. Muko
    Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
  • C. Maumelle
    Maumelle is a suburban city in central Arkansas that serves as a residential community within the greater Little Rock metropolitan region.
  • D. Martta
    Martta is a feminine given name, commonly used in Finland and other Nordic countries, that is a variant of the name Martha.
  • E. Mosen
    Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
  • 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_69e0b50262b081909bc488937145eb73 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc5968c081909ae6407199858aba completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 1:54 p.m.