Triple

T3021911
Position Surface form Disambiguated ID Type / Status
Subject Lichtenfels station E82479 entity
Predicate operator P179 FINISHED
Object DB Station&Service E54321 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: DB Station&Service | Statement: [Lichtenfels station, operator, DB Station&Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Station&Service
Context triple: [Lichtenfels station, operator, DB Station&Service]
  • A. DB Station&Service chosen
    DB Station&Service is a subsidiary of Deutsche Bahn responsible for managing and operating railway stations across Germany.
  • B. DB Regio
    DB Regio is a division of Germany’s national railway company that operates most of the country’s regional and local passenger train services.
  • C. NS Stations
    NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
  • D. Central station
    Central station is a major railway hub providing key train connections for travelers to and from Cambridge city center.
  • E. Central station
    Central station is a key Massachusetts Bay Transportation Authority (MBTA) subway stop on the Red Line located in Cambridge, Massachusetts, serving the Central Square area.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a963034819093d96566e9b0cea9 completed March 8, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1deac96b48190a65799e35a7b166e completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3 p.m.