Triple

T21518857
Position Surface form Disambiguated ID Type / Status
Subject Kallhäll station E530918 entity
Predicate hasStationCode P1289 FINISHED
Object Khl
Khl is the station code for Kallhäll railway station in the Stockholm commuter rail network in Sweden.
 E1488644 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: Khl | Statement: [Kallhäll station, hasStationCode, Khl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khl
Context triple: [Kallhäll station, hasStationCode, Khl]
  • A. KHLR
    KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
  • B. KHLG
    KHLG is the ICAO airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
  • C. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • D. KHLN
    KHLN is the ICAO airport code for Helena Regional Airport, a public airport serving Helena, Montana, in the United States.
  • E. LKL
    LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
  • 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: Khl
Triple: [Kallhäll station, hasStationCode, Khl]
Generated description
Khl is the station code for Kallhäll railway station in the Stockholm commuter rail network in Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khl
Target entity description: Khl is the station code for Kallhäll railway station in the Stockholm commuter rail network in Sweden.
  • A. KHLR
    KHLR is the ICAO airport code for Hood Army Airfield, a U.S. military airfield located at Fort Cavazos (formerly Fort Hood) in Texas.
  • B. KHLG
    KHLG is the ICAO airport code for Wheeling Ohio County Airport, a public airport serving the Wheeling area in West Virginia, United States.
  • C. KHC
    KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • D. KHLN
    KHLN is the ICAO airport code for Helena Regional Airport, a public airport serving Helena, Montana, in the United States.
  • E. LKL
    LKL is the premier professional basketball league in Lithuania, featuring the country’s top clubs and serving as its highest level of domestic competition.
  • 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_69e0c45d95a081908e7962ad215da746 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee81438cbc8190aba0f546b27eb2a4 completed April 26, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09e82521248190b6b84a3074d70be1 completed May 17, 2026, 4:09 p.m.
NEDg Description generation batch_6a09e92969c881908b865da9d78cc48e completed May 17, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09e9ad9da08190b222b06c41734994 completed May 17, 2026, 4:15 p.m.
Created at: April 16, 2026, 6:25 p.m.