Triple

T23221160
Position Surface form Disambiguated ID Type / Status
Subject Songdalen E580895 entity
Predicate hasRailwayStation P918 FINISHED
Object Nodeland 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: Nodeland Station | Statement: [Songdalen, hasRailwayStation, Nodeland Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nodeland Station
Context triple: [Songdalen, hasRailwayStation, Nodeland Station]
  • A. Nodeland Station chosen
    Nodeland Station is a railway station in Agder county, Norway, serving the village of Nodeland on the Sørlandet Line west of Kristiansand.
  • B. Pattison Station
    Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
  • C. Jaren Station
    Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
  • D. Upland station
    Upland station is a commuter rail stop in Upland, California, served by Metrolink trains on the San Bernardino Line.
  • E. Hohne Station
    Hohne Station is a former British Army military installation in Lower Saxony, Germany, that served as a key part of the Bergen-Hohne Garrison.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1922924308190a26b00e09ce60ecd completed April 29, 2026, 5:07 a.m.
Created at: April 17, 2026, 4:08 p.m.