Triple

T13227583
Position Surface form Disambiguated ID Type / Status
Subject Ladenburg E314920 entity
Predicate connectedByRoad P11435 FINISHED
Object Bundesstraße 3 E124112 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 3 | Statement: [Ladenburg, connectedByRoad, Bundesstraße 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesstraße 3
Context triple: [Ladenburg, connectedByRoad, Bundesstraße 3]
  • A. Bundesstraße 3 chosen
    Bundesstraße 3 is a major German federal highway running north–south through several states and connecting numerous cities and towns.
  • B. Bundesstraße 35
    Bundesstraße 35 is a German federal highway in southwestern Germany that connects several towns in Baden-Württemberg and Rhineland-Palatinate and serves as an important regional traffic route.
  • C. Bundesstraße 36
    Bundesstraße 36 is a German federal highway in the state of Baden-Württemberg that connects the Karlsruhe area with the Mannheim/Ludwigshafen region and serves as an important regional traffic route.
  • D. 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.
  • E. Bundesstraße 7
    Bundesstraße 7 is a major German federal highway running east–west across several states and connecting numerous cities and regions.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d3232d48190a3c792b025c596a6 completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f15a99c8190b70a3e2a55e67a4e completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:21 p.m.