Triple

T21273573
Position Surface form Disambiguated ID Type / Status
Subject Lillestrøm Station E524328 entity
Predicate hasStationCode P1289 FINISHED
Object LST
LST is the station code for Lillestrøm Station, a major railway hub in Lillestrøm, Norway.
 E1474904 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: LST | Statement: [Lillestrøm Station, hasStationCode, LST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LST
Context triple: [Lillestrøm Station, hasStationCode, LST]
  • A. LST
    LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
  • B. LST
    LST is the station code for Riverside–La Sierra, a commuter rail station in Riverside, California.
  • C. LEST
    LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
  • D. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • E. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • 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: LST
Triple: [Lillestrøm Station, hasStationCode, LST]
Generated description
LST is the station code for Lillestrøm Station, a major railway hub in Lillestrøm, Norway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LST
Target entity description: LST is the station code for Lillestrøm Station, a major railway hub in Lillestrøm, Norway.
  • A. LST
    LST is the three-letter National Rail station code for London Liverpool Street, a major railway terminus in central London.
  • B. LST
    LST is the station code for Riverside–La Sierra, a commuter rail station in Riverside, California.
  • C. LEST
    LEST is the ICAO airport code for Santiago–Rosalía de Castro Airport in Santiago de Compostela, Spain.
  • D. SLST
    SLST is the time zone used throughout Sri Lanka, corresponding to a fixed offset of UTC+5:30.
  • E. Lis
    Lis is a small unincorporated rural community located in Jasper County in the U.S. state of Illinois.
  • 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_69e0b516293c819089458ea2ec85f85e completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73655717c819092f71ed1920f52b5 completed April 21, 2026, 8:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099006e7c081908aceb2a0574de81e completed May 17, 2026, 9:53 a.m.
NEDg Description generation batch_6a0990b9b7c8819094f7db294c2e573d completed May 17, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0991cdf6408190a590d8907f2fe880 completed May 17, 2026, 10 a.m.
Created at: April 16, 2026, 4:01 p.m.