Triple

T8859168
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Heidenheim E210840 entity
Predicate hasMunicipality P847 FINISHED
Object Syrgenstein E483334 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: Syrgenstein | Statement: [Landkreis Heidenheim, hasMunicipality, Syrgenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Syrgenstein
Context triple: [Landkreis Heidenheim, hasMunicipality, Syrgenstein]
  • A. Syrgenstein chosen
    Syrgenstein is a small municipality in the Heidenheim district of the German state of Baden-Württemberg.
  • B. Haldenstein
    Haldenstein is a small Swiss village in the canton of Graubünden, known in architecture circles as the longtime base of renowned architect Peter Zumthor.
  • C. Blatzheim
    Blatzheim is a village and district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • D. Schöngarth
    Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
  • E. Obergartzem
    Obergartzem is a village in the town of Mechernich in North Rhine-Westphalia, western Germany.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60e536648190ba8da1375478c24f completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0b1b86481909ec0b78de043d8f8 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:50 p.m.