Triple

T33986908
Position Surface form Disambiguated ID Type / Status
Subject Lamborghini Sesto Elemento E871435 entity
Predicate nameMeaning P453 FINISHED
Object Sixth Element
Sixth Element is the English translation of the Italian phrase "Sesto Elemento," famously used by Lamborghini to name a lightweight, carbon-fiber–focused supercar.
E2077433 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: Sixth Element | Statement: [Lamborghini Sesto Elemento, nameMeaning, Sixth Element]
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: Sixth Element
Triple: [Lamborghini Sesto Elemento, nameMeaning, Sixth Element]
Generated description
Sixth Element is the English translation of the Italian phrase "Sesto Elemento," famously used by Lamborghini to name a lightweight, carbon-fiber–focused supercar.

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_69f3499e964c8190b674b03f6f791b4b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7038f8f2081909a5af9c8b810f597 completed May 3, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3692ddbc648190b833eee4ec29c799 completed June 20, 2026, 1:17 p.m.
NEDg Description generation batch_6a3693b6d66c8190b221a322e5940974 completed June 20, 2026, 1:20 p.m.
NED2 Entity disambiguation (via description) batch_6a3694b83d048190a29c179e9407f41f completed June 20, 2026, 1:25 p.m.
Created at: May 1, 2026, 1:50 a.m.