Triple

T14057017
Position Surface form Disambiguated ID Type / Status
Subject DOT (Din Offentlige Transport) E338244 entity
Predicate collaboratesWith P37 FINISHED
Object Movia E1080613 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: Movia | Statement: [DOT (Din Offentlige Transport), collaboratesWith, Movia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Movia
Context triple: [DOT (Din Offentlige Transport), collaboratesWith, Movia]
  • A. Movia
    Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
  • B. Movia chosen
    Movia is a Danish public transport authority responsible for planning and managing bus services in the Greater Copenhagen area and parts of Zealand.
  • C. MIA Mover
    The MIA Mover is an automated people mover system that transports passengers between Miami International Airport and the nearby Miami Intermodal Center transportation hub.
  • D. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • E. Azuga
    Azuga is a small mountain resort town in Romania known for its ski slopes and scenic location in the Carpathian Mountains.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8e6d008190af8892f34c5cefbd completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefaabd0819098870522a6ce850c completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:20 p.m.