Triple

T30435210
Position Surface form Disambiguated ID Type / Status
Subject GM small-block engine family E774290 entity
Predicate notableMember P10 FINISHED
Object Chevrolet 400 V8
The Chevrolet 400 V8 is the largest-displacement version of Chevrolet’s classic small-block V8 engine, known for its strong low-end torque and popularity in performance and racing applications.
 E957020 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: Chevrolet 400 V8 | Statement: [GM small-block engine family, notableMember, Chevrolet 400 V8]
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: Chevrolet 400 V8
Triple: [GM small-block engine family, notableMember, Chevrolet 400 V8]
Generated description
The Chevrolet 400 V8 is the largest-displacement version of Chevrolet’s classic small-block V8 engine, known for its strong low-end torque and popularity in performance and racing applications.

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_69f22492d2a88190995ce8745d9becaa completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68693d1b481909053505550c07c9d completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b074250c819090bd2f2adf6b3fc4 completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b10fb994819097c306fab1352bbd completed June 10, 2026, 12:34 a.m.
NED2 Entity disambiguation (via description) batch_6a28b1d59c0881909073de8cceebb293 completed June 10, 2026, 12:37 a.m.
Created at: April 29, 2026, 8:07 p.m.