Triple

T10896406
Position Surface form Disambiguated ID Type / Status
Subject British Rail Class 40 E257319 entity
Predicate notableLivery P21786 FINISHED
Object BR blue
BR blue was the standard dark blue corporate livery adopted by British Rail from the late 1960s, widely associated with the diesel and electric locomotive era in the UK.
 E892892 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: BR blue | Statement: [British Rail Class 40, notableLivery, BR blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BR blue
Context triple: [British Rail Class 40, notableLivery, BR blue]
  • A. BRG
    BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
  • B. the Blue
    The Blue is the traditional nickname and spirit symbol representing Phillips Academy Andover’s athletic teams and school community.
  • C. Blå
    Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
  • D. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • E. RE / BL
    RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
  • 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: BR blue
Triple: [British Rail Class 40, notableLivery, BR blue]
Generated description
BR blue was the standard dark blue corporate livery adopted by British Rail from the late 1960s, widely associated with the diesel and electric locomotive era in the UK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BR blue
Target entity description: BR blue was the standard dark blue corporate livery adopted by British Rail from the late 1960s, widely associated with the diesel and electric locomotive era in the UK.
  • A. BRG
    BRG is the stock ticker symbol for Borregaard, a Norwegian company specializing in advanced and sustainable biochemicals derived from wood.
  • B. the Blue
    The Blue is the traditional nickname and spirit symbol representing Phillips Academy Andover’s athletic teams and school community.
  • C. Blå
    Blå is a renowned live music and cultural venue in Oslo, Norway, known for its vibrant jazz, electronic, and alternative music scene.
  • D. Br
    Br is the currency symbol used to denote the Ethiopian birr, the official monetary unit of Ethiopia.
  • E. RE / BL
    RE / BL is a 2017 extended play by American singer Rebecca Black that showcases her evolution from viral fame to more mature, electropop-influenced music.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d022f4c81909cd9ea27a9f0cd32 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e15519e620819090e492861de6a567 completed April 16, 2026, 9:31 p.m.
NEDg Description generation batch_69e17d3331788190a9ee03fc4c6ca191 completed April 17, 2026, 12:22 a.m.
NED2 Entity disambiguation (via description) batch_69e1ff5b3d488190a545bee24381d01e completed April 17, 2026, 9:37 a.m.
Created at: April 8, 2026, 9:21 p.m.