Triple

T19015828
Position Surface form Disambiguated ID Type / Status
Subject Kandersteg railway station E465345 entity
Predicate hasStationCode P1289 FINISHED
Object KAD
KAD is the station code for Kandersteg railway station in Switzerland.
E1355358 NE FINISHED

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: KAD | Statement: [Kandersteg railway station, hasStationCode, KAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KAD
Context triple: [Kandersteg railway station, hasStationCode, KAD]
  • A. KAD
    KAD is the IATA airport code for Kaduna International Airport in Kaduna, Nigeria.
  • B. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • C. KADS
    KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
  • D. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • E. KAB
    KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KAD
Triple: [Kandersteg railway station, hasStationCode, KAD]
Generated description
KAD is the station code for Kandersteg railway station in Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KAD
Target entity description: KAD is the station code for Kandersteg railway station in Switzerland.
  • A. KAD
    KAD is the IATA airport code for Kaduna International Airport in Kaduna, Nigeria.
  • B. KADW
    KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
  • C. KADS
    KADS is the ICAO airport code for Addison Airport, a general aviation and reliever airport serving the Dallas, Texas metropolitan area.
  • D. KAG
    KAG is the abbreviation for "Keep America Great," a political campaign slogan associated with Donald Trump.
  • E. KAB
    KAB is the station code for Kaulbachplatz, a public transit stop in Nuremberg, Germany.
  • F. None of above. chosen

Provenance (5 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6db04fc819094709f223e30a526 completed April 20, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05be4e6e048190b5b0050b90a4ce04 completed May 14, 2026, 12:21 p.m.
NEDg Description generation batch_6a05bf11e17c81909ccc56bd6337d524 completed May 14, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a05bf9b18788190aae5a577b8f725fc completed May 14, 2026, 12:27 p.m.
Created at: April 10, 2026, 12:02 p.m.