Triple

T6032166
Position Surface form Disambiguated ID Type / Status
Subject Livingston North railway station E134330 entity
Predicate hasStationCode P1289 FINISHED
Object LSN
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
 E564058 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: LSN | Statement: [Livingston North railway station, hasStationCode, LSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSN
Context triple: [Livingston North railway station, hasStationCode, LSN]
  • A. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • B. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • C. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • D. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • E. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • 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: LSN
Triple: [Livingston North railway station, hasStationCode, LSN]
Generated description
LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSN
Target entity description: LSN is the National Rail station code for Livingston North railway station in West Lothian, Scotland.
  • A. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • B. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • C. LSL
    LSL is the currency code for the Lesotho loti, the official monetary unit of Lesotho.
  • D. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • E. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056b0a8d081909035e2e85e851ca1 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113855ad08190b9ff826a2f39c356 completed March 23, 2026, 10:18 a.m.
NEDg Description generation batch_69c114ec9d0c819092de76a6712c482d completed March 23, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69c115552c188190b500d96e86410180 completed March 23, 2026, 10:26 a.m.
Created at: March 22, 2026, 4:08 p.m.