Triple

T21835570
Position Surface form Disambiguated ID Type / Status
Subject Pfäffikon SZ E539110 entity
Predicate locatedNear P294 FINISHED
Object Rapperswil-Jona 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: Rapperswil-Jona | Statement: [Pfäffikon SZ, locatedNear, Rapperswil-Jona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rapperswil-Jona
Context triple: [Pfäffikon SZ, locatedNear, Rapperswil-Jona]
  • A. Rapperswil-Jona chosen
    Rapperswil-Jona is a Swiss town in the canton of St. Gallen known for its historic old town, lakeside location, and prominent medieval castle.
  • B. Grenchen
    Grenchen is a Swiss town in the canton of Solothurn known for its watchmaking industry and location at the foot of the Jura Mountains.
  • C. Oetwil an der Limmat
    Oetwil an der Limmat is a municipality in the canton of Zurich in Switzerland, situated along the Limmat River in the Limmat Valley region.
  • D. Ursensollen
    Ursensollen is a municipality in the district of Amberg-Sulzbach in the Upper Palatinate region of Bavaria, Germany.
  • E. Richterswil
    Richterswil is a picturesque municipality on the shores of Lake Zurich in the canton of Zurich, 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a7c368819094e0c4548be30798 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.