Triple

T20102805
Position Surface form Disambiguated ID Type / Status
Subject Schwerte E496588 entity
Predicate district P2709 FINISHED
Object Unna 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: Unna | Statement: [Schwerte, district, Unna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unna
Context triple: [Schwerte, district, Unna]
  • A. Unna chosen
    Unna is a town in the German state of North Rhine-Westphalia, known historically as a regional trading center near Dortmund.
  • B. Unnan
    Unnan is a city in Shimane Prefecture, Japan, known for its rural landscapes, hot springs, and traditional cultural sites.
  • C. Ulla
    Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
  • D. Ulla
    Ulla is a river that serves as a tributary of the Dzvina (Western Dvina) in Eastern Europe.
  • E. Uinen
    Uinen is a Maia from J.R.R. Tolkien’s legendarium, revered as the Lady of the Seas and protector of mariners.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6667170a4819085d07a4188ded541 completed April 20, 2026, 5:46 p.m.
Created at: April 11, 2026, 11:27 p.m.