Triple

T12701312
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße E303466 entity
Predicate hasLocalName P6353 FINISHED
Object Bundesstraße (Germany) E303466 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 (Germany) | Statement: [Bundesstraße, hasLocalName, Bundesstraße (Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße (Germany)
Context triple: [Bundesstraße, hasLocalName, Bundesstraße (Germany)]
  • A. Bundesstraße chosen
    A Bundesstraße is a major federal highway in Germany that connects cities and regions and is ranked below the Autobahn in the national road network.
  • B. Bundesstraße B2
    Bundesstraße B2 is a major German federal highway running north–south through several states and connecting important cities and regions, including the area around Donauwörth.
  • C. Bundesstraße B16
    Bundesstraße B16 is a major federal highway in southern Germany that runs east–west through Bavaria, connecting numerous towns and cities along the Danube region.
  • D. Bundesstraße 6
    Bundesstraße 6 is a major federal highway in Germany that runs through several states and connects numerous cities and towns.
  • E. Bundesstraße 9
    Bundesstraße 9 is a major German federal highway running along the western part of the country, connecting numerous cities and towns near the Rhine.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ef65ac8190aedf9ade3a68e24e completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b27790819085f0f03af33f8f21 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.