Triple

T20511853
Position Surface form Disambiguated ID Type / Status
Subject GM High Feature V6 engines E503584 entity
Predicate alsoKnownAs P39 FINISHED
Object HFV6
HFV6 is General Motors’ family of high-feature V6 gasoline engines used across various mid- to high-end cars and SUVs for a balance of performance and refinement.
 E1435477 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: HFV6 | Statement: [GM High Feature V6 engines, alsoKnownAs, HFV6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HFV6
Context triple: [GM High Feature V6 engines, alsoKnownAs, HFV6]
  • A. HFCV
    HFCV is a Protestant Christian church organization serving Hmong communities in Vietnam.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HVF
    HVF is the National Rail station code for Haverfordwest railway station in Pembrokeshire, Wales.
  • D. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • E. FIPV
    FIPV is the international federation responsible for overseeing and regulating the sport of Basque pelota worldwide.
  • 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: HFV6
Triple: [GM High Feature V6 engines, alsoKnownAs, HFV6]
Generated description
HFV6 is General Motors’ family of high-feature V6 gasoline engines used across various mid- to high-end cars and SUVs for a balance of performance and refinement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HFV6
Target entity description: HFV6 is General Motors’ family of high-feature V6 gasoline engines used across various mid- to high-end cars and SUVs for a balance of performance and refinement.
  • A. HFCV
    HFCV is a Protestant Christian church organization serving Hmong communities in Vietnam.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HVF
    HVF is the National Rail station code for Haverfordwest railway station in Pembrokeshire, Wales.
  • D. MHV
    MHV is the IATA airport code for Mojave Air and Space Port, a well-known aerospace testing and flight facility in Mojave, California.
  • E. FIPV
    FIPV is the international federation responsible for overseeing and regulating the sport of Basque pelota worldwide.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcb8f5c8190b0d4c09f3669a8ec completed April 20, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d36f4688190a084267f85744cc0 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089de26d548190882d6685aaa7f5fa completed May 16, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a089e5c696881909d1d793b884464a1 completed May 16, 2026, 4:42 p.m.
Created at: April 16, 2026, 11:36 a.m.