Triple

T7583988
Position Surface form Disambiguated ID Type / Status
Subject Ofoten Line E179560 entity
Predicate passengerOperator P28038 FINISHED
Object Vy Tog E119737 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: Vy Tog | Statement: [Ofoten Line, passengerOperator, Vy Tog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vy Tog
Context triple: [Ofoten Line, passengerOperator, Vy Tog]
  • A. Vy Tog chosen
    Vy Tog is a Norwegian railway company that operates regional and intercity passenger train services, including routes through Oslo Central Station.
  • B. Vaitogi
    Vaitogi is a coastal village on the island of Tutuila in American Samoa, known for its dramatic sea cliffs and traditional Samoan culture.
  • C. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • D. Viras
    Viras is a squid-like alien kaiju from the Gamera film series, known as a leader of an invading extraterrestrial race that battles the giant turtle monster.
  • E. Vengi
    Vengi was an important early medieval city and region in southeastern India that served as a major political and cultural center under the Eastern Chalukya dynasty.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f993cd0c8190864f801074625a32 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861812e08819097fd14fe2b8fee13 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.