Triple

T235340
Position Surface form Disambiguated ID Type / Status
Subject Cambridge railway station E4497 entity
Predicate stationCode P1289 FINISHED
Object CBG
CBG is the National Rail station code for Cambridge railway station in Cambridge, England.
 E30129 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: CBG | Statement: [Cambridge railway station, stationCode, CBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CBG
Context triple: [Cambridge railway station, stationCode, CBG]
  • A. Canna
    Canna is a small, historically rich island in Scotland’s Inner Hebrides, known for its wildlife, archaeological sites, and ownership by the National Trust for Scotland.
  • B. BB-37
    BB-37 is the hull number of USS Oklahoma, a Nevada-class battleship of the United States Navy that was sunk during the attack on Pearl Harbor in 1941.
  • C. Cannabis
    Cannabis is a genus of flowering plants best known for producing psychoactive and medicinal compounds such as THC and CBD, widely used for recreational, therapeutic, and industrial (hemp) purposes.
  • D. Cresco
    Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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: CBG
Triple: [Cambridge railway station, stationCode, CBG]
Generated description
CBG is the National Rail station code for Cambridge railway station in Cambridge, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CBG
Target entity description: CBG is the National Rail station code for Cambridge railway station in Cambridge, England.
  • A. Canna
    Canna is a small, historically rich island in Scotland’s Inner Hebrides, known for its wildlife, archaeological sites, and ownership by the National Trust for Scotland.
  • B. BB-37
    BB-37 is the hull number of USS Oklahoma, a Nevada-class battleship of the United States Navy that was sunk during the attack on Pearl Harbor in 1941.
  • C. Cannabis
    Cannabis is a genus of flowering plants best known for producing psychoactive and medicinal compounds such as THC and CBD, widely used for recreational, therapeutic, and industrial (hemp) purposes.
  • D. Cresco
    Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
  • E. BnG
    BnG is the commonly used abbreviation for Bòrd na Gàidhlig, the principal public body responsible for promoting and supporting the Scottish Gaelic language in Scotland.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cc9ab2c81909af278a07f86aa1e completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36478ebcc8190b95419be9bc6bba3 completed Feb. 28, 2026, 9:56 p.m.
NEDg Description generation batch_69a3651d2b108190a81d8c3076f6e617 completed Feb. 28, 2026, 9:58 p.m.
NED2 Entity disambiguation (via description) batch_69a3657903608190988a4c933bbc262c completed Feb. 28, 2026, 10 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.