Triple

T23025542
Position Surface form Disambiguated ID Type / Status
Subject Flemingsberg district E573298 entity
Predicate hasStationName P8935 FINISHED
Object Flemingsberg 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: Flemingsberg station | Statement: [Flemingsberg district, hasStationName, Flemingsberg station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flemingsberg station
Context triple: [Flemingsberg district, hasStationName, Flemingsberg station]
  • A. Gulskogen Station
    Gulskogen Station is a railway station in the Drammen area of Viken county, Norway, serving local and regional train traffic.
  • B. Flemingsberg railway station chosen
    Flemingsberg railway station is a major commuter and regional rail hub in the southern Stockholm area, serving both local and long-distance trains.
  • C. Skogen station
    Skogen station is a small metro stop on Oslo’s Holmenkollen Line (Line 1), serving the hillside residential area of Skogen in the Vestre Aker district.
  • D. Linderud station
    Linderud station is an Oslo Metro stop in the Linderud neighborhood, providing urban rail access on the city's east side.
  • E. Häggvik station
    Häggvik station is a commuter rail station in the Häggvik district of Sollentuna, north of central Stockholm, Sweden.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1847c671c8190a8095051d8c3cf93 completed April 29, 2026, 4:09 a.m.
Created at: April 17, 2026, 3:52 p.m.