Triple

T12454540
Position Surface form Disambiguated ID Type / Status
Subject U2 line E297622 entity
Predicate hasSystem P730 FINISHED
Object U-Bahn Frankfurt E301853 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: U-Bahn Frankfurt | Statement: [U2 line, hasSystem, U-Bahn Frankfurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U-Bahn Frankfurt
Context triple: [U2 line, hasSystem, U-Bahn Frankfurt]
  • A. Frankfurt U-Bahn chosen
    The Frankfurt U-Bahn is the rapid transit system serving Frankfurt am Main, Germany, forming a core part of the city's public transportation network with multiple underground and surface lines.
  • B. Frankfurt S-Bahn network
    The Frankfurt S-Bahn network is a rapid transit and commuter rail system serving Frankfurt am Main and its surrounding metropolitan region, integrating urban and regional rail services.
  • C. Hamburg U-Bahn
    The Hamburg U-Bahn is the rapid transit metro system serving the city of Hamburg, Germany, and its surrounding areas.
  • D. Munich U-Bahn
    The Munich U-Bahn is the German city's rapid transit metro system, forming a core part of its public transportation network with multiple underground lines serving urban and suburban areas.
  • E. Berlin Stadtbahn
    Berlin Stadtbahn is a major elevated east–west railway corridor in Berlin that carries S-Bahn and regional trains through the city’s central districts.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c6849d88190b33c9f50632811a8 completed May 2, 2026, 10:36 p.m.
Created at: April 8, 2026, 9:56 p.m.