Triple

T17177511
Position Surface form Disambiguated ID Type / Status
Subject Todtnau E416898 entity
Predicate subdivision P747 FINISHED
Object Todtnauberg E416898 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: Todtnauberg | Statement: [Todtnau, subdivision, Todtnauberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todtnauberg
Context triple: [Todtnau, subdivision, Todtnauberg]
  • A. Todtnau chosen
    Todtnau is a small town in Germany’s Black Forest region, known for its mountainous scenery, outdoor recreation, and proximity to the Feldberg peak.
  • B. Erzhausen
    Erzhausen is a small municipality in the state of Hesse in central Germany, located near Darmstadt and part of the Rhine-Main metropolitan region.
  • C. Schneeberg
    Schneeberg is a prominent alpine mountain in eastern Austria, known as the easternmost two-thousander of the Alps and a popular destination for hiking and skiing.
  • D. Schneeberg
    Schneeberg is a historic mining town in Saxony, Germany, known for its silver and uranium mining heritage and traditional Ore Mountain folk culture.
  • E. Rohrbach-Berg
    Rohrbach-Berg is a small market town in Upper Austria that serves as an important local hub for administration, commerce, and services in the Mühlviertel region.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fca04cc8190a9df230078fbe268 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.