Triple

T16156467
Position Surface form Disambiguated ID Type / Status
Subject Dietikon E392055 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Geroldswil E1078755 NE FINISHED

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: Geroldswil | Statement: [Dietikon, hasNeighboringMunicipality, Geroldswil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geroldswil
Context triple: [Dietikon, hasNeighboringMunicipality, Geroldswil]
  • A. Geroldswil chosen
    Geroldswil is a municipality in the canton of Zurich in Switzerland, located in the Limmat Valley near the city of Zurich.
  • B. Attiswil
    Attiswil is a municipality in the canton of Bern in Switzerland, located in the Oberaargau region.
  • C. Reigoldswil
    Reigoldswil is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, known as a gateway to the Jura hills and local hiking areas.
  • D. Niederbühl
    Niederbühl is a district of the town of Rastatt in the state of Baden-Württemberg in southwestern Germany.
  • E. Volketswil
    Volketswil is a municipality in the canton of Zurich in Switzerland, known for its residential character and proximity to the city of Zurich.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5aa57c8190a9d89dd57e30318f completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a001f83f6ac8190b9f18fe701a9b3ce completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:01 a.m.