Triple

T18113860
Position Surface form Disambiguated ID Type / Status
Subject Steinberg E433549 entity
Predicate hasTransport P1298 FINISHED
Object Steinberg Station NE NERFINISHED

How this triple was built (3 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: Steinberg Station | Statement: [Steinberg, hasTransport, Steinberg Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steinberg Station
Context triple: [Steinberg, hasTransport, Steinberg Station]
  • A. Blaustein station
    Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Bacharach station
    Bacharach station is a small railway stop in the town of Bacharach, Germany, serving regional trains along the scenic Middle Rhine Valley.
  • C. Tuxedo station
    Tuxedo station is a commuter rail stop in Tuxedo, New York, serving passengers on the Port Jervis Line between New York City and Orange County.
  • D. Vestby Station
    Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
  • E. Loria station
    Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steinberg Station
Target entity description: Steinberg Station is a local railway stop serving the community of Steinberg and connecting it to the surrounding region’s rail network.
  • A. Blaustein station
    Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
  • B. Bacharach station
    Bacharach station is a small railway stop in the town of Bacharach, Germany, serving regional trains along the scenic Middle Rhine Valley.
  • C. Tuxedo station
    Tuxedo station is a commuter rail stop in Tuxedo, New York, serving passengers on the Port Jervis Line between New York City and Orange County.
  • D. Vestby Station
    Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
  • E. Loria station
    Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • F. None of above. chosen

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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd4c7888190b85c39decdb0333f completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.