Triple

T19484183
Position Surface form Disambiguated ID Type / Status
Subject Heidenheim district E487465 entity
Predicate administrativeSeat P21613 FINISHED
Object Heidenheim an der Brenz 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: Heidenheim an der Brenz | Statement: [Heidenheim district, administrativeSeat, Heidenheim an der Brenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heidenheim an der Brenz
Context triple: [Heidenheim district, administrativeSeat, Heidenheim an der Brenz]
  • A. Heidenheim an der Brenz chosen
    Heidenheim an der Brenz is a town in the German state of Baden-Württemberg known for its industrial heritage, historic castle Hellenstein, and location on the Brenz River near the Swabian Jura.
  • B. Nenzing
    Nenzing is a small market town in the Austrian state of Vorarlberg, near the border with Liechtenstein and Switzerland.
  • C. Heidenau
    Heidenau is a small town in the German state of Saxony, located near Dresden along the Elbe River.
  • D. 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.
  • E. Imst
    Imst is a small alpine town in western Austria known for its scenic Tyrolean landscape and traditional culture.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343dcc748190b0df816e6ab4cafb completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.