Triple

T21775580
Position Surface form Disambiguated ID Type / Status
Subject Rauma Line E537563 entity
Predicate hasStation P35 FINISHED
Object Verma Station NE NERFINISHED

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: Verma Station | Statement: [Rauma Line, hasStation, Verma Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Verma Station
Context triple: [Rauma Line, hasStation, Verma Station]
  • A. Verma Station chosen
    Verma Station is a small railway stop on Norway’s scenic Rauma Line, serving the village of Verma in Rauma Municipality.
  • B. Bharati Station
    Bharati Station is India’s third permanent Antarctic research station, established to support scientific studies in areas such as geology, climate, and oceanography.
  • C. Maitri Station
    Maitri Station is India’s second permanent Antarctic research base, located in Queen Maud Land and used for scientific studies in fields such as geology, atmospheric sciences, and environmental research.
  • D. Bala station
    Bala station is a regional rail stop in the Bala Cynwyd neighborhood of Philadelphia, Pennsylvania, served by SEPTA's Cynwyd Line.
  • E. Landhi Railway Station
    Landhi Railway Station is a major railway hub in the Landhi area of Karachi, Pakistan, serving as an important stop for intercity and commuter train services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f046291d808190b5111a8d4819909f completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:51 p.m.