Triple

T7597588
Position Surface form Disambiguated ID Type / Status
Subject Nelson railway station E179895 entity
Predicate hasStationCode P1289 FINISHED
Object NEL
NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
 E674872 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: NEL | Statement: [Nelson railway station, hasStationCode, NEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NEL
Context triple: [Nelson railway station, hasStationCode, NEL]
  • A. NER
    NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
  • B. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • C. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • D. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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: NEL
Triple: [Nelson railway station, hasStationCode, NEL]
Generated description
NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NEL
Target entity description: NEL is the National Rail station code assigned to Nelson railway station in Lancashire, England.
  • A. NER
    NER is a commonly used abbreviation for Northeast India, a culturally diverse and geographically distinct region of the country comprising its easternmost states.
  • B. NE
    NE is the two-letter ISO 3166-1 alpha-2 country code assigned to Niger.
  • C. NE
    NE is the official two-letter United States Postal Service abbreviation used to designate the state of Nebraska.
  • D. NE
    NE is the Swiss vehicle registration code for the canton of Neuchâtel.
  • E. NE
    NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69c69f3487ec8190bf7acdf2dd91e6d6 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9d4d3408190b9650347c7850c47 completed March 27, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861a7a7088190ba8d72e63f4dcaa0 completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862bb95e881909a60608a5279238d completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:53 p.m.