Triple

T17779620
Position Surface form Disambiguated ID Type / Status
Subject The Orders of the Night E443860 entity
Predicate creatorBirthPlace P1 FINISHED
Object Donaueschingen 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: Donaueschingen | Statement: [The Orders of the Night, creatorBirthPlace, Donaueschingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donaueschingen
Context triple: [The Orders of the Night, creatorBirthPlace, Donaueschingen]
  • A. Donaueschingen chosen
    Donaueschingen is a town in southwestern Germany, in the Black Forest region of Baden-Württemberg, known as one of the sources of the Danube River.
  • B. Metzingen
    Metzingen is a town in the German state of Baden-Württemberg, known for its Swabian heritage and large outlet shopping district.
  • C. Elchingen
    Elchingen is a municipality in southern Germany, historically notable as the site of a major Napoleonic victory during the War of the Third Coalition.
  • D. Schwäbisch Gmünd
    Schwäbisch Gmünd is a historic town in the German state of Baden-Württemberg, known for its medieval architecture and long tradition of metalworking and jewelry craftsmanship.
  • E. Offenburg
    Offenburg is a city in southwestern Germany’s Baden-Württemberg state, known as a regional economic and transport hub near the French border in the Upper Rhine region.
  • 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_69e48720734c819085ebe37065b8c8f3 completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.