Triple

T19625178
Position Surface form Disambiguated ID Type / Status
Subject Seengen E471114 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Seon 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: Seon | Statement: [Seengen, hasNeighboringMunicipality, Seon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seon
Context triple: [Seengen, hasNeighboringMunicipality, Seon]
  • A. Seon
    Seon was a classical music record label known for its historically informed and baroque performance recordings.
  • B. Seon chosen
    Seon is a municipality in the canton of Aargau in northern Switzerland, known for its residential character and proximity to the Seetal valley.
  • C. Seong
    Seong is a Korean family name shared by various individuals in Korea and the Korean diaspora.
  • D. Won-dong
    Won-dong is a neighborhood (dong) within the city of Osan in Gyeonggi Province, South Korea.
  • E. Kyongwon
    Kyongwon is a county-level city in northeastern North Korea, located near the border with China in North Hamgyong Province.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e92ff48190ae6e6ba2c603d5e7 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.