Triple

T19264696
Position Surface form Disambiguated ID Type / Status
Subject Oberland electoral district E481740 entity
Predicate includesMunicipality P14658 FINISHED
Object Planken 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: Planken | Statement: [Oberland electoral district, includesMunicipality, Planken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Planken
Context triple: [Oberland electoral district, includesMunicipality, Planken]
  • A. Planken chosen
    Planken is a small mountainous municipality in Liechtenstein known for its rural character and scenic alpine surroundings.
  • B. Stenen
    Stenen is a small village located in the east-central region of the Canadian province of Saskatchewan.
  • C. Tábua
    Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
  • D. Pločica
    Pločica is a village located within the municipality of Kovin in Serbia, known as a small rural settlement in the South Banat District of the Vojvodina region.
  • E. Blok
    Blok is a Russian surname most famously borne by the Symbolist poet Alexander Blok.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8bce6881908395836960762672 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.