Triple

T23196068

Position	Surface form	Disambiguated ID	Type / Status
Subject	British Rail second-generation DMUs	`E579870`	entity
Predicate	includes class	`P131580`	FINISHED
Object	British Rail Class 185 The British Rail Class 185 is a fleet of modern diesel multiple-unit passenger trains built for regional and intercity services in the UK, notably operated by TransPennine Express.	`E1818542`	NE FINISHED

How this triple was built (2 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 185 | Statement: [British Rail second-generation DMUs, includes class, British Rail Class 185]

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 185
Triple: [British Rail second-generation DMUs, includes class, British Rail Class 185]

Generated description

The British Rail Class 185 is a fleet of modern diesel multiple-unit passenger trains built for regional and intercity services in the UK, notably operated by TransPennine Express.

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_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_6a16414f88e481909dd63424b18cba70`	completed	May 27, 2026, 12:56 a.m.
NEDg	Description generation	`batch_6a164212dc348190b4eb5bae50803a5c`	completed	May 27, 2026, 1 a.m.
NED2	Entity disambiguation (via description)	`batch_6a16434f165c819081ea70b81354a508`	completed	May 27, 2026, 1:05 a.m.

Created at: April 17, 2026, 4:06 p.m.