Triple

T23196047
Position Surface form Disambiguated ID Type / Status
Subject British Rail second-generation DMUs E579870 entity
Predicate includes class P131580 FINISHED
Object British Rail Class 14x
The British Rail Class 14x is a family of diesel multiple units introduced in the 1980s, commonly known as "Pacer" trains, designed as low-cost replacements for older rolling stock on regional and commuter services.
 E585443 NE FINISHED

How this triple was built (3 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: British Rail Class 14x | Statement: [British Rail second-generation DMUs, includes class, British Rail Class 14x]
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: British Rail Class 14x
Triple: [British Rail second-generation DMUs, includes class, British Rail Class 14x]
Generated description
The British Rail Class 14x is a family of diesel multiple units introduced in the 1980s, commonly known as "Pacer" trains, designed as low-cost replacements for older rolling stock on regional and commuter services.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: includes class
Context triple: [British Rail second-generation DMUs, includes class, British Rail Class 14x]
  • A. includesClasses chosen
    Indicates that one entity contains or encompasses one or more class-type entities as part of its definition or structure.
  • B. usesClass
    Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
  • C. addsClass
    Indicates that one entity introduces or appends a class (such as a classification, type, or code) to another entity.
  • D. includesInfraclass
    Indicates that one entity is classified as belonging to a specific infraclass within a taxonomic hierarchy.
  • E. expandsClass
    Indicates that one class broadens or extends the definition, scope, or functionality of another class.
  • F. None of above.

Provenance (6 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fdb279c81908dcc46f2786a86cd completed April 29, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12534dd3a88190aa1aae12a830a775 completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a12545544f881909f0afd8459986559 completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a125879112c8190959380eaef8ccf19 completed May 24, 2026, 1:46 a.m.
PD Predicate disambiguation batch_69ef8a041c0081909afb670d17a5aaba completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:06 p.m.