Triple

T20777564
Position Surface form Disambiguated ID Type / Status
Subject Vhg E511392 entity
Predicate identifies P310 FINISHED
Object Västerhaninge railway 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: Västerhaninge railway station | Statement: [Vhg, identifies, Västerhaninge railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Västerhaninge railway station
Context triple: [Vhg, identifies, Västerhaninge railway station]
  • A. Västerhaninge station chosen
    Västerhaninge station is a commuter rail station in the locality of Västerhaninge, serving as part of the Stockholm commuter rail network in Haninge Municipality, Sweden.
  • B. Östberga station
    Östberga station is a local railway stop serving the suburban area of Djursholm in the Stockholm metropolitan region of Sweden.
  • C. Häggvik station
    Häggvik station is a commuter rail station in the Häggvik district of Sollentuna, north of central Stockholm, Sweden.
  • D. Högberga station
    Högberga station is a local stop on the Lidingöbanan light rail line serving the Högberga area on Lidingö Island near Stockholm, Sweden.
  • E. Strängnäs station
    Strängnäs station is a railway station in the town of Strängnäs in Södermanland County, Sweden, serving regional and commuter rail traffic.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26d34bc81908bb22087d434322d completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.