Triple

T32608169
Position Surface form Disambiguated ID Type / Status
Subject Lamborghini Museum E833578 entity
Predicate hasExhibit P35 FINISHED
Object Lamborghini Terzo Millennio
The Lamborghini Terzo Millennio is a futuristic all-electric hypercar concept showcasing Lamborghini’s vision for advanced energy storage, cutting-edge materials, and radical aerodynamics.
E2044286 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: Lamborghini Terzo Millennio | Statement: [Lamborghini Museum, hasExhibit, Lamborghini Terzo Millennio]
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: Lamborghini Terzo Millennio
Triple: [Lamborghini Museum, hasExhibit, Lamborghini Terzo Millennio]
Generated description
The Lamborghini Terzo Millennio is a futuristic all-electric hypercar concept showcasing Lamborghini’s vision for advanced energy storage, cutting-edge materials, and radical aerodynamics.

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_69f3492bfa648190b6ae472074634e29 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c6c80a388190b038cfe32c2f2ca4 completed May 3, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3538eecd1081909dd2a5bf263312ee completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a353992e2c48190b777313293290bad completed June 19, 2026, 12:44 p.m.
NED2 Entity disambiguation (via description) batch_6a353a48a0e08190bbd5d55a8bd390ae completed June 19, 2026, 12:47 p.m.
Created at: May 1, 2026, 1:05 a.m.