Triple

T22183383
Position Surface form Disambiguated ID Type / Status
Subject Wien Mitte – Landstraße station E548228 entity
Predicate connectsWith P37 FINISHED
Object U3 line — 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: U3 line | Statement: [Wien Mitte – Landstraße station, connectsWith, U3 line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: U3 line
Context triple: [Wien Mitte – Landstraße station, connectsWith, U3 line]
  • A. U3 line
    The U3 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with its northwestern suburbs.
  • B. U3 line
    The U3 line is a Berlin U-Bahn subway route that serves several central districts, including the Friedrichshain-Kreuzberg area, and connects them with other parts of the city.
  • C. U3 line chosen
    The U3 line is a major Vienna U-Bahn (subway) line running east–west across the city and serving key central and outer districts.
  • D. U1 line
    The U1 line is a route of the Frankfurt U-Bahn rapid transit system that connects central Frankfurt with several northern suburbs.
  • E. U1 line
    The U1 line is one of Berlin’s U-Bahn metro lines, running primarily east–west and serving central districts including Friedrichshain-Kreuzberg.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa687808190b9959d4e91db948a completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.