Triple

T13635364
Position Surface form Disambiguated ID Type / Status
Subject Greater Zürich Area E325833 entity
Predicate includesMunicipality P14658 FINISHED
Object Erlenbach ZH E769970 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: Erlenbach ZH | Statement: [Greater Zürich Area, includesMunicipality, Erlenbach ZH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erlenbach ZH
Context triple: [Greater Zürich Area, includesMunicipality, Erlenbach ZH]
  • A. Erlenbach (ZH) chosen
    Erlenbach (ZH) is a municipality on the shores of Lake Zurich in the canton of Zurich, Switzerland, known as a residential community within the Zurich metropolitan area.
  • B. Oberelsbach
    Oberelsbach is a small municipality in northern Bavaria, Germany, known for its location in the Rhön Mountains and proximity to the Rhön Biosphere Reserve.
  • 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. Veltheim (Aargau)
    Veltheim (Aargau) is a small Swiss municipality in the canton of Aargau, known for its rural character and location in the Aare river valley.
  • E. Oberberken
    Oberberken is a village-sized district of the town of Schorndorf in the German state of Baden-Württemberg.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a616dc81908b8c1213e1d4beed completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.