Triple

T11552860
Position Surface form Disambiguated ID Type / Status
Subject Smethwick Galton Bridge railway station E273938 entity
Predicate hasStationCode P1289 FINISHED
Object SGB
SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
 E932754 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: SGB | Statement: [Smethwick Galton Bridge railway station, hasStationCode, SGB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SGB
Context triple: [Smethwick Galton Bridge railway station, hasStationCode, SGB]
  • A. SGB V
    SGB V is the German Social Code Book V, the central legal framework governing statutory health insurance in Germany.
  • B. SGB XI
    SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SGJ
    SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • E. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • 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: SGB
Triple: [Smethwick Galton Bridge railway station, hasStationCode, SGB]
Generated description
SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SGB
Target entity description: SGB is the National Rail station code for Smethwick Galton Bridge railway station in the West Midlands, England.
  • A. SGB V
    SGB V is the German Social Code Book V, the central legal framework governing statutory health insurance in Germany.
  • B. SGB XI
    SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SGJ
    SGJ is the FAA location identifier for Northeast Florida Regional Airport serving the St. Augustine, Florida area.
  • E. SGL
    SGL is the station code for Singleton railway station, a train stop serving the locality of Singleton.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a85b9ac8190a57c1fdaeacbe3d6 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e851a6688190996580a077496833 completed April 21, 2026, 3 a.m.
NEDg Description generation batch_69e6ef93e7d88190af3853b82de23c1b completed April 21, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69e6f9144afc819081ee7f78e32ad39a completed April 21, 2026, 4:12 a.m.
Created at: April 8, 2026, 9:37 p.m.