Triple

T20477747
Position Surface form Disambiguated ID Type / Status
Subject Igelboda station E502363 entity
Predicate connectsTo P845 FINISHED
Object Saltsjöbaden terminus 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: Saltsjöbaden terminus | Statement: [Igelboda station, connectsTo, Saltsjöbaden terminus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saltsjöbaden terminus
Context triple: [Igelboda station, connectsTo, Saltsjöbaden terminus]
  • A. Saltsjöbaden station chosen
    Saltsjöbaden station is a suburban railway station in Saltsjöbaden, Sweden, serving as a terminus on the Saltsjöbanan line connecting the coastal resort area to central Stockholm.
  • B. Östberga station
    Östberga station is a local railway stop serving the suburban area of Djursholm in the Stockholm metropolitan region of Sweden.
  • C. Södertälje Centrum Station
    Södertälje Centrum Station is a key transit hub in Södertälje, Sweden, serving as an important stop on the Stockholm commuter rail network.
  • D. Gulskogen Station
    Gulskogen Station is a railway station in the Drammen area of Viken county, Norway, serving local and regional train traffic.
  • E. Skärsätra station
    Skärsätra station is a stop on Stockholm’s Lidingöbanan light rail line serving the Skärsätra area on the island of Lidingö.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69966b9748190a5296d8ab03c07a1 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:34 a.m.