Triple

T37953276
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg–Wasserbillig railway line E946798 entity
Predicate hasConnectionTowards P845 FINISHED
Object Germany E1728 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: Germany | Statement: [Luxembourg–Wasserbillig railway line, hasConnectionTowards, Germany]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConnectionTowards
Context triple: [Luxembourg–Wasserbillig railway line, hasConnectionTowards, Germany]
  • A. hasConnectionPotential
    Indicates that there exists a possibility or capacity for a meaningful connection or relationship to form between the entities.
  • B. connectsTo chosen
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • C. hasTransferConnectionWith
    Indicates that there exists a transfer link or interchange point enabling movement or transition between the two connected entities.
  • D. 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.
  • E. hasConnection
    Indicates that there exists a link, association, or relationship between two entities.
  • 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_69f76ef64cf08190ad3e1114b62aac67 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a037c903be48190a2fafa53d7d50d42 completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a415d1a62088190a5dee6dfd8338b37 completed June 28, 2026, 5:42 p.m.
PD Predicate disambiguation batch_6a037a192a008190a9917688a9e804f4 completed May 12, 2026, 7:06 p.m.
Created at: May 3, 2026, 4:20 p.m.