Triple

T23161682
Position Surface form Disambiguated ID Type / Status
Subject Vallentuna station E578601 entity
Predicate locatedIn P40 FINISHED
Object Vallentuna 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: Vallentuna | Statement: [Vallentuna station, locatedIn, Vallentuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallentuna
Context triple: [Vallentuna station, locatedIn, Vallentuna]
  • A. Vallentuna chosen
    Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
  • B. Valnontey
    Valnontey is a small alpine hamlet and valley in Italy’s Aosta Valley, known as a gateway to Gran Paradiso National Park and a popular destination for hiking and ice climbing.
  • C. Valun
    Valun is a small coastal village on the Croatian island of Cres, known for its picturesque bay and traditional Mediterranean character.
  • D. Val-El
    Val-El is a visionary Kryptonian scientist and the grandfather of Seg-El in the TV series "Krypton," known for challenging his planet's ruling authorities with his radical ideas about the universe.
  • E. Valkarkay
    Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f019cd881908e3c68d99454da2a completed April 29, 2026, 4:54 a.m.
Created at: April 17, 2026, 4:02 p.m.