Triple

T17515599
Position Surface form Disambiguated ID Type / Status
Subject Zugerberg E426559 entity
Predicate hasLowerStationAt P127720 FINISHED
Object Schönegg NE NERFINISHED

How this triple was built (4 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: Schönegg | Statement: [Zugerberg, hasLowerStationAt, Schönegg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schönegg
Context triple: [Zugerberg, hasLowerStationAt, Schönegg]
  • A. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • B. St. Gilgen
    St. Gilgen is a picturesque Austrian village on the shores of Lake Wolfgang in the Salzkammergut region, known for its historic ties to the Mozart family and its alpine scenery.
  • C. Reischach
    Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
  • D. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • E. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • 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: Schönegg
Target entity description: Schönegg is a lower mountain station area in the Swiss canton of Zug, serving as an access point to the Zugerberg region.
  • A. Arnegg
    Arnegg is a village and district of the municipality of Blaustein in the Alb-Donau district of Baden-Württemberg, Germany.
  • B. St. Gilgen
    St. Gilgen is a picturesque Austrian village on the shores of Lake Wolfgang in the Salzkammergut region, known for its historic ties to the Mozart family and its alpine scenery.
  • C. Reischach
    Reischach is a municipality in Bavaria, Germany, situated within the district of Altötting.
  • D. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • E. Obernzell
    Obernzell is a Bavarian municipality on the Danube River near the city of Passau, known for its historic ceramics industry and scenic riverside setting.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowerStationAt
Context triple: [Zugerberg, hasLowerStationAt, Schönegg]
  • A. hasLowerStation
    Indicates that one entity occupies a lower rank, status, or position in a hierarchy relative to another entity.
  • B. hasStationAt
    Indicates that an entity maintains or operates a station located at a specified place.
  • C. hasEndpointStation
    Indicates that something (such as a route, line, or service) has a specific station as one of its terminal endpoints.
  • D. hasRailStation
    Indicates that one entity possesses, contains, or is served by a rail station.
  • E. hasUpperStationFacility
    Indicates that an entity possesses or is associated with a facility located at an upper station (e.g., the upper end of a transport or transit system).
  • F. None of above. chosen

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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4526097388190ba1a949064962a24 completed April 19, 2026, 3:56 a.m.
PD Predicate disambiguation batch_69e3b4f5fbcc8190a6ea9639bf5650da completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb37d148190b7f38599c06594ee completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:49 a.m.