Triple

T17616542
Position Surface form Disambiguated ID Type / Status
Subject Autobahn A10 E429097 entity
Predicate alsoKnownAs P39 FINISHED
Object Berliner Ring NE NERFINISHED

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: Berliner Ring | Statement: [Autobahn A10, alsoKnownAs, Berliner Ring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berliner Ring
Context triple: [Autobahn A10, alsoKnownAs, Berliner Ring]
  • A. Berliner Ring chosen
    Berliner Ring is the colloquial name for the A10 motorway, a major orbital highway encircling the city of Berlin in Germany.
  • B. Kölner Ring
    The Kölner Ring is a heavily trafficked motorway ring encircling Cologne, Germany, known as one of the busiest and most congestion-prone highway sections in the country.
  • C. Berlin Turnpike
    The Berlin Turnpike is a major commercial and transportation corridor in central Connecticut known for its dense strip of businesses, motels, and heavy traffic.
  • D. Mainzer Landstraße
    Mainzer Landstraße is a major thoroughfare in Frankfurt am Main, Germany, running west from the city center and lined with offices, shops, and transport links.
  • E. Berlin-Tempelhof road system
    The Berlin-Tempelhof road system is a network of streets and thoroughfares serving the Tempelhof district of Berlin, integrating local and arterial traffic around the former Tempelhof Airport area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.