Triple

T754324
Position Surface form Disambiguated ID Type / Status
Subject Fürth Hauptbahnhof E15519 entity
Predicate stationOperator P16162 FINISHED
Object DB Station&Service E54321 NE FINISHED

How this triple was built (3 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: [Fürth Hauptbahnhof, stationOperator, DB Station&Service]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DB Station&Service
Context triple: [Fürth Hauptbahnhof, stationOperator, 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. NS Stations
    NS Stations is a Dutch company responsible for managing and developing railway stations and related facilities across the Netherlands.
  • C. Reservoir station
    Reservoir station is a light rail stop on Boston’s MBTA Green Line that serves the D branch near Cleveland Circle in Brookline.
  • D. Jubany Station
    Jubany Station is an Argentine Antarctic research base located on King George Island near the Antarctic Peninsula, supporting scientific studies in fields such as glaciology, biology, and atmospheric science.
  • E. King station
    King station is a downtown Toronto subway station on the TTC network serving the Financial District and nearby attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stationOperator
Context triple: [Fürth Hauptbahnhof, stationOperator, DB Station&Service]
  • A. stationName
    Indicates the name assigned to a particular station in the relationship.
  • B. primaryStation
    Indicates that one station is designated as the main or principal station associated with another entity or within a given context.
  • C. operatingAuthority chosen
    Indicates that an entity has the official power, permission, or jurisdiction to operate, manage, or control another entity or activity.
  • D. terminusStation
    Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
  • E. sisterStation
    Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
  • F. None of above.

Provenance (4 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a64ecadc8190a82e25444e7abba6 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654eae9608190af3b410ecc041660 completed March 3, 2026, 3:26 a.m.
PD Predicate disambiguation batch_69a4a501c4cc81908de6d63e3d4f60d7 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.