Triple

T11646979
Position Surface form Disambiguated ID Type / Status
Subject U1 (Vienna U-Bahn) E276799 entity
Predicate formerTerminus P388 FINISHED
Object Kagran station E753242 NE FINISHED

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: Kagran station | Statement: [U1 (Vienna U-Bahn), formerTerminus, Kagran station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kagran station
Context triple: [U1 (Vienna U-Bahn), formerTerminus, Kagran station]
  • A. Kohnen Station
    Kohnen Station is a German summer-only research facility in Antarctica, primarily used for glaciological and climate studies on the East Antarctic Ice Sheet.
  • B. Kagran chosen
    Kagran is a district in Vienna, Austria, known as a largely residential area with shopping centers and transport links on the city's northeastern side.
  • C. Mo i Rana Station
    Mo i Rana Station is a railway station in the town of Mo i Rana in Nordland county, Norway, serving as a stop on the Nordland Line between Trondheim and Bodø.
  • D. Hauketo Station
    Hauketo Station is a railway station in Oslo, Norway, serving the Hauketo area and surrounding neighborhoods with commuter rail connections.
  • E. Hamar Station
    Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2cc8bfc8190a063cc37de9596a9 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87f903c48190b9055ad4cfebb1e1 completed April 26, 2026, 9:47 p.m.
Created at: April 8, 2026, 9:39 p.m.