Triple

T17784770
Position Surface form Disambiguated ID Type / Status
Subject Grabs E443988 entity
Predicate borderedBy P224 FINISHED
Object Fläsch 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: Fläsch | Statement: [Grabs, borderedBy, Fläsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fläsch
Context triple: [Grabs, borderedBy, Fläsch]
  • A. Fläsch chosen
    Fläsch is a small wine-growing municipality in the canton of Graubünden in eastern Switzerland, known for its vineyards and scenic Alpine setting.
  • B. Flöha
    Flöha is a small town in the Free State of Saxony in eastern Germany, situated near Chemnitz and known historically as a local railway and industrial hub.
  • C. Fluberg
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • D. Fliquet
    Fliquet is a small coastal locality in the Parish of St. Martin on the island of Jersey, known for its shoreline and rural surroundings.
  • E. Flandrina
    Flandrina is the given name of Charlotte Flandrina of Nassau, a historical noblewoman from the House of Nassau.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48791dec0819090d6e88449389fc0 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.