Triple

T28255571
Position Surface form Disambiguated ID Type / Status
Subject Rover T-series engine E712434 entity
Predicate relatedEngine P37 FINISHED
Object Rover L-series engine
The Rover L-series engine is a turbo-diesel inline-four engine developed by Rover in the 1990s, widely used in models like the Rover 200, 400, and Land Rover Freelander for its durability and efficiency.
E1813301 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: Rover L-series engine | Statement: [Rover T-series engine, relatedEngine, Rover L-series engine]
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: Rover L-series engine
Triple: [Rover T-series engine, relatedEngine, Rover L-series engine]
Generated description
The Rover L-series engine is a turbo-diesel inline-four engine developed by Rover in the 1990s, widely used in models like the Rover 200, 400, and Land Rover Freelander for its durability and efficiency.

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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f643f3ab4081908beda310c0535ecb completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16279f365c8190a2bf4550879c674e completed May 26, 2026, 11:07 p.m.
NEDg Description generation batch_6a16293751048190b1b41f81a329d281 completed May 26, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_6a162a080b348190923c6ee579c829c1 completed May 26, 2026, 11:17 p.m.
Created at: April 27, 2026, 11:08 p.m.