Triple

T3896121
Position Surface form Disambiguated ID Type / Status
Subject County of Nassau-Dietz E88174 entity
Predicate namedAfter P63 FINISHED
Object Dietz E397038 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: Dietz | Statement: [County of Nassau-Dietz, namedAfter, Dietz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietz
Context triple: [County of Nassau-Dietz, namedAfter, Dietz]
  • A. Dietz chosen
    Dietz is a historic town in the German state of Hesse that once served as the political center of the County of Nassau-Dietz.
  • B. Dietl
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • C. Dinnet
    Dinnet is a small village in Aberdeenshire, Scotland, situated on Royal Deeside near the River Dee and serving as a gateway to the nearby nature reserves and countryside.
  • D. Dietrich
    Dietrich is a masculine German given name historically borne by notable figures such as theologian and anti-Nazi dissident Dietrich Bonhoeffer.
  • E. Dinneen
    Dinneen is a surname of Irish origin borne by various notable individuals in sports, politics, and the arts.
  • 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecd197148190b5b24f7097c6049a completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5284cf70481909e4efa1baf1b8815 completed March 14, 2026, 9:20 a.m.
Created at: March 9, 2026, 3:21 p.m.