Triple

T22550084
Position Surface form Disambiguated ID Type / Status
Subject Lebern electoral district E557534 entity
Predicate hasMunicipality P847 FINISHED
Object Inkwil 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: Inkwil | Statement: [Lebern electoral district, hasMunicipality, Inkwil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inkwil
Context triple: [Lebern electoral district, hasMunicipality, Inkwil]
  • A. Inkwil chosen
    Inkwil is a small municipality in the canton of Bern, Switzerland, known for its proximity to the scenic Lake Inkwil.
  • B. Nym
    Nym is a minor, cynical follower of Falstaff in Shakespeare’s plays, known for his terse, repetitive speech and role as a comic soldier.
  • C. Cybinka
    Cybinka is a small town in western Poland near the German border, known for its surrounding forests and proximity to the Oder River.
  • D. Waterkeyn
    Waterkeyn is a Belgian surname most notably associated with engineer André Waterkeyn, designer of Brussels’ iconic Atomium.
  • E. Cloudesley
    Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f74512c8190b5369e19a4bc6325 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.