Triple

T6637404
Position Surface form Disambiguated ID Type / Status
Subject Salisbury railway station E150492 entity
Predicate stationCode P1289 FINISHED
Object SAL
SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
 E599018 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: SAL | Statement: [Salisbury railway station, stationCode, SAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAL
Context triple: [Salisbury railway station, stationCode, SAL]
  • A. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • B. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • C. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • D. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • E. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • 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: SAL
Triple: [Salisbury railway station, stationCode, SAL]
Generated description
SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAL
Target entity description: SAL is the three-letter National Rail station code assigned to Salisbury railway station in Wiltshire, England.
  • A. SAL
    SAL is the three-letter IATA airport code for El Salvador International Airport, the main international gateway to El Salvador.
  • B. SAL
    SAL is the commonly used abbreviation for the Society of Antiquaries of London, a scholarly organization dedicated to the study and preservation of the material remains of the past.
  • C. Sal
    Sal is a popular Cape Verdean island known for its white-sand beaches, year-round sunshine, and vibrant seaside resorts centered around the town of Santa Maria.
  • D. SALA
    SALA is an arts festival, known as the South Australian Living Artists Festival, that showcases visual art across venues throughout South Australia.
  • E. SL
    SL is the public transport authority and brand responsible for operating and coordinating the mass transit system in the Stockholm region of Sweden.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcf439c8190b9334b34774da821 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbf71874819080cc89b6740b1567 completed March 27, 2026, 6:27 p.m.
NEDg Description generation batch_69c6cd0bb0e48190ae51fde4b4631f65 completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd90b9208190b4c5bf44db073314 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:59 p.m.