Triple

T7737573
Position Surface form Disambiguated ID Type / Status
Subject Hodenhagen E175421 entity
Predicate roadConnection P385 FINISHED
Object Bundesautobahn 7 E422245 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: Bundesautobahn 7 | Statement: [Hodenhagen, roadConnection, Bundesautobahn 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bundesautobahn 7
Context triple: [Hodenhagen, roadConnection, Bundesautobahn 7]
  • A. Bundesautobahn 6
    Bundesautobahn 6 is a major east–west German motorway that runs across several federal states, linking key industrial and metropolitan regions in the country.
  • B. Bundesautobahn 27
    Bundesautobahn 27 is a major German motorway in northern Germany that connects the city of Bremen with Cuxhaven and the A7 near Walsrode, serving as an important regional transport corridor.
  • C. Autobahn A7 chosen
    Autobahn A7 is one of Germany’s longest and most important north–south motorways, running from the Danish border through central Germany toward the Austrian border.
  • D. Bundesautobahn 96
    Bundesautobahn 96 is a major German motorway running from Munich to the Lake Constance region, serving as an important east–west transport corridor in southern Germany.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7035a97688190bf93efeee2e365ec completed March 27, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7c4482881908f7e763f019358cc completed March 29, 2026, 6:33 a.m.
Created at: March 27, 2026, 4:07 p.m.