Triple

T16293130
Position Surface form Disambiguated ID Type / Status
Subject Unna district E395574 entity
Predicate administrativeSeat P21613 FINISHED
Object Unna E101592 NE FINISHED

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: [Unna district, administrativeSeat, Unna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unna
Context triple: [Unna district, administrativeSeat, 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 (3 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2aee6881909fd28547f135427c completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da268b881908f17980c48d44419 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.