Triple

T22067195
Position Surface form Disambiguated ID Type / Status
Subject Nastätten E545303 entity
Predicate roadConnection P385 FINISHED
Object Bundesstraße 260 E1104354 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 260 | Statement: [Nastätten, roadConnection, Bundesstraße 260]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 260
Context triple: [Nastätten, roadConnection, Bundesstraße 260]
  • A. Bundesstraße 260 chosen
    Bundesstraße 260 is a federal highway in Germany that connects the city of Wiesbaden with the Rhine-Lahn region, serving as an important regional route in the state of Hesse.
  • B. Bundesstraße 268
    Bundesstraße 268 is a federal highway in southwestern Germany that connects various towns in the Saarland region and serves as an important regional traffic route.
  • C. Bundesstraße 209
    Bundesstraße 209 is a federal highway in northern Germany that connects several towns and regions in Lower Saxony and Schleswig-Holstein.
  • D. 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.
  • E. Bundesstraße 62
    Bundesstraße 62 is a federal highway in Germany that runs through parts of North Rhine-Westphalia and Hesse, connecting several towns and regional transport routes.
  • 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_6a0ab6447c248190992069ae0257c38b completed May 18, 2026, 6:48 a.m.
Created at: April 16, 2026, 8:27 p.m.