Triple

T3160681
Position Surface form Disambiguated ID Type / Status
Subject Kasprowy Wierch E66093 entity
Predicate cableCarLowerStation P8378 FINISHED
Object Kuźnice E102689 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: Kuźnice | Statement: [Kasprowy Wierch, cableCarLowerStation, Kuźnice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuźnice
Context triple: [Kasprowy Wierch, cableCarLowerStation, Kuźnice]
  • A. Kuźnica chosen
    Kuźnica is a small Polish fishing village and seaside resort located on the Hel Peninsula along the Baltic Sea.
  • B. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • C. Ciechocinek
    Ciechocinek is a Polish spa town renowned for its historic saline graduation towers and therapeutic health resorts.
  • D. Kutyna
    Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
  • E. Chojnice
    Chojnice is a historic town in northern Poland known for its medieval architecture and role as a local cultural and economic center.
  • 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: cableCarLowerStation
Context triple: [Kasprowy Wierch, cableCarLowerStation, Kuźnice]
  • A. cableCarOpened
    Indicates that a cable car system or line has begun operating or was officially opened for use.
  • B. hasCableCar chosen
    Indicates that one entity possesses, operates, or is served by a cable car system connecting it to other locations or points.
  • C. hasLowerFloor
    Indicates that one location, structure, or level includes or is directly connected to a floor situated below another floor.
  • D. cableCarOperator
    Indicates that one entity operates, manages, or runs a cable car service for another entity or location.
  • E. terminalStationSouth
    Indicates that a given station serves as the southern terminal (end point) of a particular route or line.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada617824c8190a293230041b2f1ea completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250d2b8c81908585d9563f9b4d16 completed March 12, 2026, 2:29 a.m.
PD Predicate disambiguation batch_69ad9dfe0a948190928f2201d671c654 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:05 p.m.