Triple

T30332115
Position Surface form Disambiguated ID Type / Status
Subject Geltendorf station E771508 entity
Predicate hasConnectionsTo P845 FINISHED
Object regional bus services 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: regional bus services | Statement: [Geltendorf station, hasConnectionsTo, regional bus services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConnectionsTo
Context triple: [Geltendorf station, hasConnectionsTo, regional bus services]
  • A. hasNotableConnectionTo
    Indicates a significant or noteworthy relationship, association, or link exists between two entities.
  • B. connectsTo chosen
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. hasTeleconnectionsWith
    Indicates a relationship where changes or variations in one system, region, or variable are statistically linked to corresponding changes in another, often distant, system, region, or variable.
  • D. hasTransferConnectionWith
    Indicates that there exists a transfer link or interchange point enabling movement or transition between the two connected entities.
  • E. hasSurfaceConnections
    Indicates that one entity is linked to another through connections or interfaces that occur at or across their surfaces.
  • 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a012efebda88190a90c8f650e4b1ee9 completed May 11, 2026, 1:21 a.m.
PD Predicate disambiguation batch_6a01298cc604819087c836659c128926 completed May 11, 2026, 12:57 a.m.
Created at: April 29, 2026, 7:53 p.m.