Triple

T4350639
Position Surface form Disambiguated ID Type / Status
Subject Sowerby Bridge railway station E98016 entity
Predicate hasStationCode P1289 FINISHED
Object SOW
SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
 E433318 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: SOW | Statement: [Sowerby Bridge railway station, hasStationCode, SOW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOW
Context triple: [Sowerby Bridge railway station, hasStationCode, SOW]
  • A. SOs
    SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
  • B. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • C. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SLA
    SLA is the commonly used abbreviation for the Society for Linguistic Anthropology, a professional organization dedicated to the study of language in its social and cultural contexts.
  • 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: SOW
Triple: [Sowerby Bridge railway station, hasStationCode, SOW]
Generated description
SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOW
Target entity description: SOW is the National Rail station code assigned to Sowerby Bridge railway station in West Yorkshire, England.
  • A. SOs
    SOs are the Supporting Organizations within ICANN that develop and recommend global Internet policy in their respective areas of responsibility.
  • B. SWC
    SWC is the acronym for the South Western Command of the Indian Army, a major operational command responsible for defense and military operations in India’s western sector.
  • C. SWC
    SWC is the abbreviation for the Southwest Conference, a former NCAA Division I college athletic conference that primarily featured schools from Texas and the surrounding region.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SLA
    SLA is the commonly used abbreviation for the Society for Linguistic Anthropology, a professional organization dedicated to the study of language in its social and cultural contexts.
  • 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_69b3454965f881908c41190bb22f0e4b completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a840248190b88c8a7be9158d25 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbb01fb0819083fbdd194b2a96f8 completed March 14, 2026, 10:05 p.m.
NEDg Description generation batch_69b5dcca1168819081480cf2f32cf23f completed March 14, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd4fe660819080484016bc4c8ff8 completed March 14, 2026, 10:12 p.m.
Created at: March 12, 2026, 11:15 p.m.