Triple

T21254389
Position Surface form Disambiguated ID Type / Status
Subject Arlesheim E523826 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Münchenstein 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: Münchenstein | Statement: [Arlesheim, neighboringMunicipality, Münchenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Münchenstein
Context triple: [Arlesheim, neighboringMunicipality, Münchenstein]
  • A. Münchenstein chosen
    Münchenstein is a municipality in the canton of Basel-Landschaft in northwestern Switzerland, located near the city of Basel.
  • B. Menzingen
    Menzingen is a municipality in the canton of Zug in central Switzerland, known for its rural landscape and location in the pre-Alpine region.
  • C. Heiligenberg
    Heiligenberg is a prominent hill overlooking Heidelberg in Germany, known for its historical ruins and cultural sites.
  • D. Heiligenberg
    Heiligenberg is a municipality in the Bodenseekreis district of Baden-Württemberg, Germany, known for its elevated location above Lake Constance and its historic castle.
  • E. Ötigheim
    Ötigheim is a small municipality in southwestern Germany’s Baden-Württemberg state, known for its open-air theater and rural character within the Rastatt district.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a0391881908e45909e939415a5 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.