Triple

T14756012
Position Surface form Disambiguated ID Type / Status
Subject Schottentor transport hub E346729 entity
Predicate metroStationName P8935 FINISHED
Object Schottentor E346709 NE FINISHED

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: Schottentor | Statement: [Schottentor transport hub, metroStationName, Schottentor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schottentor
Context triple: [Schottentor transport hub, metroStationName, Schottentor]
  • A. Schottentor chosen
    Schottentor is a historic former city gate area in Vienna that now serves as a major public transport hub and landmark at the edge of the Innere Stadt.
  • B. Schwabentor
    Schwabentor is a historic medieval city gate in Freiburg im Breisgau, Germany, known as one of the city’s iconic architectural landmarks.
  • C. Stadttor
    Stadttor is a prominent modern office and government building in Düsseldorf, Germany, known for its distinctive glass architecture and role as a landmark of the MedienHafen area.
  • D. Spittlertor
    Spittlertor is a historic city gate in Nuremberg, Germany, known as part of the medieval fortifications that once protected the old town.
  • E. Hallesches Tor
    Hallesches Tor is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving as a key hub for multiple subway lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metroStationName
Context triple: [Schottentor transport hub, metroStationName, Schottentor]
  • A. subwayStation
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • B. stationName chosen
    Indicates the name assigned to a particular station in the relationship.
  • C. terminusStation
    Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
  • D. lightRailStationName
    Indicates that a light rail station has the specified name.
  • E. interchangeStation
    Indicates a station where passengers can transfer between different routes, lines, or modes of transportation.
  • F. None of above.

Provenance (4 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7ef0fd48190bd4a8af128ef274c completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
PD Predicate disambiguation batch_69de8c02e5c08190943c27594026faf7 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:30 a.m.