Triple

T22557924
Position Surface form Disambiguated ID Type / Status
Subject Germany and Italy E557735 entity
Predicate haveCrossBorderRailService P64605 FINISHED
Object true 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: true | Statement: [Germany and Italy, haveCrossBorderRailService, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveCrossBorderRailService
Context triple: [Germany and Italy, haveCrossBorderRailService, true]
  • A. hasNightTrainService
    Indicates that a transportation route or station is served by trains that operate during nighttime hours.
  • B. hasRailBorderCrossing chosen
    Indicates that two places are connected by at least one official border crossing that is served by rail transport.
  • C. isRailServiceOf
    Indicates that a particular rail service operates for, belongs to, or is provided by a specified entity (such as a route, operator, or network).
  • D. haveCrossBorderCorridor
    Indicates that there exists a designated corridor or route enabling movement or interaction across a national or regional border between the related entities.
  • E. hasLocalRailOperator
    Indicates that a specified rail operator is responsible for providing local or regional rail services within a particular area or network.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7b06e08190b3ca82a783965942 completed April 29, 2026, 1:31 a.m.
PD Predicate disambiguation batch_69e898cb3fb48190add6ab24a2df5822 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 8:52 p.m.