Triple

T6605919
Position Surface form Disambiguated ID Type / Status
Subject Berlin Ostkreuz E149116 entity
Predicate railwayLine P848 FINISHED
Object Berlin Ringbahn E588600 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: Berlin Ringbahn | Statement: [Berlin Ostkreuz, railwayLine, Berlin Ringbahn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Ringbahn
Context triple: [Berlin Ostkreuz, railwayLine, Berlin Ringbahn]
  • A. Berliner Ring
    Berliner Ring is the colloquial name for the A10 motorway, a major orbital highway encircling the city of Berlin in Germany.
  • B. 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.
  • C. Berlin inner ring chosen
    The Berlin inner ring is the central circular railway corridor encircling Berlin’s core districts, serving as a major hub for urban and regional train connections.
  • D. Schottenring
    Schottenring is a prominent section of Vienna’s Ringstrasse boulevard, known for its historic architecture and proximity to the city’s central district.
  • E. Schubertring
    Schubertring is a section of Vienna’s historic Ringstrasse boulevard, known for its elegant 19th-century architecture and proximity to major cultural landmarks.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af143d5c8190b62602602510b1cb completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbce25b481908d600d38d3c5b871 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:56 p.m.