Triple

T14330066
Position Surface form Disambiguated ID Type / Status
Subject GM BEV3 platform E355321 entity
Predicate alsoKnownAs P39 FINISHED
Object BEV3
BEV3 is General Motors’ dedicated third-generation electric vehicle platform designed to underpin a wide range of battery-electric cars and crossovers.
 E1093844 NE FINISHED

How this triple was built (4 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: BEV3 | Statement: [GM BEV3 platform, alsoKnownAs, BEV3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BEV3
Context triple: [GM BEV3 platform, alsoKnownAs, BEV3]
  • A. BVE
    BVE is the IATA airport code for Brive–Souillac Airport, a regional airport serving the Brive-la-Gaillarde area in southwestern France.
  • B. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • C. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • D. EVZ
    EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
  • E. VEVO
    VEVO is a music video hosting service and network that distributes high-quality official music videos and related content across platforms like YouTube and its own apps.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: BEV3
Triple: [GM BEV3 platform, alsoKnownAs, BEV3]
Generated description
BEV3 is General Motors’ dedicated third-generation electric vehicle platform designed to underpin a wide range of battery-electric cars and crossovers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BEV3
Target entity description: BEV3 is General Motors’ dedicated third-generation electric vehicle platform designed to underpin a wide range of battery-electric cars and crossovers.
  • A. BVE
    BVE is the IATA airport code for Brive–Souillac Airport, a regional airport serving the Brive-la-Gaillarde area in southwestern France.
  • B. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • C. BE2
    The BE2 was a British single-engine biplane widely used in World War I, primarily for reconnaissance and training roles.
  • D. EVZ
    EVZ is a professional Swiss ice hockey club based in Zug that competes in the National League.
  • E. VEVO
    VEVO is a music video hosting service and network that distributes high-quality official music videos and related content across platforms like YouTube and its own apps.
  • F. None of above. chosen

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_69d8278fa2108190bc0d0e7939c1eb03 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8c1def0081908f03cda8e84d20c0 completed April 14, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46943dac819092f5935d9d312949 completed May 8, 2026, 2:12 a.m.
NEDg Description generation batch_69fd4811e2808190b559d8348079ae8f completed May 8, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69fd48d827488190b4a494d4da64ba51 completed May 8, 2026, 2:22 a.m.
Created at: April 10, 2026, 1:13 a.m.