Triple

T23553634
Position Surface form Disambiguated ID Type / Status
Subject Ostkreuz E578119 entity
Predicate servedByRegionalLine P1293 FINISHED
Object RE1 LITERAL 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: RE1 | Statement: [Ostkreuz, servedByRegionalLine, RE1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servedByRegionalLine
Context triple: [Ostkreuz, servedByRegionalLine, RE1]
  • A. servedByRailBranch
    Indicates that a location or facility is connected to and provided service by a specific railway branch line.
  • B. servedByLine chosen
    Indicates that a transportation stop, station, or location is provided service by a specific transit line.
  • C. servedByTramwayLine
    Indicates that a location or area is provided public transport service by a specific tramway line.
  • D. lineServed
    Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
  • E. servesCommuterRailLine
    Indicates that a location or facility provides access to and is a stop or station for a commuter rail line.
  • F. None of above.

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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aed17fc881908b45dcde14790d42 completed April 29, 2026, 7:10 a.m.
PD Predicate disambiguation batch_69f118afabd88190bd88f49597d120e8 completed April 28, 2026, 8:29 p.m.
Created at: April 17, 2026, 6:11 p.m.