Triple

T20135187
Position Surface form Disambiguated ID Type / Status
Subject Uttigen E491006 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Kiesen 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: Kiesen | Statement: [Uttigen, hasNeighboringMunicipality, Kiesen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiesen
Context triple: [Uttigen, hasNeighboringMunicipality, Kiesen]
  • A. Kiesen chosen
    Kiesen is a municipality in the canton of Bern, Switzerland, served by a station on the Bern–Thun railway line.
  • B. Keshi
    Keshi is a horse-demon in Hindu mythology best known for being slain by the god Krishna (also called Kesava).
  • C. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • D. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • E. Kensiu
    Kensiu is an endangered Aslian language spoken by an indigenous Semang (Negrito) community in northern Peninsular Malaysia and southern Thailand.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66766e46c81908721fd47066dc9f8 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.