Triple

T4482214
Position Surface form Disambiguated ID Type / Status
Subject Anselm Kiefer E100161 entity
Predicate birthPlace P1 FINISHED
Object Donaueschingen E453611 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: Donaueschingen | Statement: [Anselm Kiefer, birthPlace, Donaueschingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donaueschingen
Context triple: [Anselm Kiefer, birthPlace, 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. 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.
  • C. 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.
  • D. Schongau
    Schongau is a historic Bavarian town in southern Germany known for its well-preserved medieval old town and location along the Romantic Road.
  • E. Biberach an der Riß
    Biberach an der Riß is a historic town in the German state of Baden-Württemberg, known for its well-preserved medieval old town and traditional Swabian culture.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fb69a0819099f0005779f4fcac completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69bff2a7e5b081909d3d64fc62c48eb3 completed March 22, 2026, 1:46 p.m.
Created at: March 12, 2026, 11:36 p.m.