Triple

T29919864
Position Surface form Disambiguated ID Type / Status
Subject Tutzing station E759894 entity
Predicate isThroughStationOn P32039 FINISHED
Object Munich–Garmisch-Partenkirchen railway 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: Munich–Garmisch-Partenkirchen railway | Statement: [Tutzing station, isThroughStationOn, Munich–Garmisch-Partenkirchen railway]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isThroughStationOn
Context triple: [Tutzing station, isThroughStationOn, Munich–Garmisch-Partenkirchen railway]
  • A. isPassengerStationFor
    Indicates that a station serves as a boarding and alighting point for passengers on a particular transportation line or service.
  • B. isMajorStationOn
    Indicates that a station serves as a primary or significant stop on a particular route or line.
  • C. runsThroughStation
    Indicates that a route, line, or service passes through and stops at a particular station as part of its path.
  • D. wasTransitPointOn
    Indicates that something served as an intermediate stop or passage location along a specified route, journey, or transport path.
  • E. servesAsThroughStationFor chosen
    Indicates that a station functions as an intermediate (through) stop for a particular service, route, or journey rather than as its starting or ending point.
  • 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_69f2246189fc8190996b63ee1f9a2374 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6779293c081909bc5673cec80e607 completed May 2, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
Created at: April 29, 2026, 6:14 p.m.