Triple

T22067194
Position Surface form Disambiguated ID Type / Status
Subject Nastätten E545303 entity
Predicate roadConnection P385 FINISHED
Object Bundesstraße 274 E1107174 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: Bundesstraße 274 | Statement: [Nastätten, roadConnection, Bundesstraße 274]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 274
Context triple: [Nastätten, roadConnection, Bundesstraße 274]
  • A. Bundesstraße 274 chosen
    Bundesstraße 274 is a German federal highway in the state of Rhineland-Palatinate that connects several towns in the Middle Rhine region.
  • B. Bundesstraße 273
    Bundesstraße 273 is a federal highway in Germany that connects towns in the state of Brandenburg, serving as an important regional road link north of Berlin.
  • C. Bundesstraße 270
    Bundesstraße 270 is a federal highway in Germany that runs through the state of Rhineland-Palatinate, connecting towns in the Palatinate region and linking to several major routes.
  • D. Bundesstraße 241
    Bundesstraße 241 is a federal highway in Germany that runs through Lower Saxony and Hesse, connecting several towns and cities in the Harz region.
  • E. Bundesstraße 245
    Bundesstraße 245 is a federal highway in central Germany that connects several towns and cities, including Halberstadt, and serves as an important regional transport route.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12884937c819095d3af69123fa2cb completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae59ad388190826181c933ab5261 completed May 18, 2026, 6:14 a.m.
Created at: April 16, 2026, 8:27 p.m.