Triple

T2634655
Position Surface form Disambiguated ID Type / Status
Subject Docklands Light Railway E59714 entity
Predicate rollingStock P1305 FINISHED
Object B2K stock
B2K stock is a type of electric multiple unit train used on London’s Docklands Light Railway system.
E283371 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: B2K stock | Statement: [Docklands Light Railway, rollingStock, B2K stock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: B2K stock
Context triple: [Docklands Light Railway, rollingStock, B2K stock]
  • A. BRK.B
    BRK.B is the Class B common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
  • B. BRK.A
    BRK.A is the Class A common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
  • C. 2K
    2K is a major American video game publisher best known for its popular sports and action game franchises, including the NBA 2K series.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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: B2K stock
Triple: [Docklands Light Railway, rollingStock, B2K stock]
Generated description
B2K stock is a type of electric multiple unit train used on London’s Docklands Light Railway system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: B2K stock
Target entity description: B2K stock is a type of electric multiple unit train used on London’s Docklands Light Railway system.
  • A. BRK.B
    BRK.B is the Class B common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
  • B. BRK.A
    BRK.A is the Class A common stock of Berkshire Hathaway Inc., the multinational conglomerate led by Warren Buffett.
  • C. 2K
    2K is a major American video game publisher best known for its popular sports and action game franchises, including the NBA 2K series.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8e085b0819089db4103c0d8cd9b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90ac94d48190b3138abac9934ec8 completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af91625bd481908d3666af3cd3733f completed March 10, 2026, 3:34 a.m.
NED2 Entity disambiguation (via description) batch_69af91f9e1208190aa149c9afc84911c completed March 10, 2026, 3:37 a.m.
Created at: March 6, 2026, 9:50 p.m.