Triple

T20511901
Position Surface form Disambiguated ID Type / Status
Subject GM High Feature V6 engines E503584 entity
Predicate familyMember P566 FINISHED
Object LF4
LF4 is a high-performance twin-turbocharged 3.6-liter V6 engine used in select Cadillac models, known for its strong power output and advanced engineering.
 E1435481 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: LF4 | Statement: [GM High Feature V6 engines, familyMember, LF4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LF4
Context triple: [GM High Feature V6 engines, familyMember, LF4]
  • A. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • B. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • C. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • D. LFBR
    LFBR is the ICAO airport code for Muret – Lherm Aerodrome, a regional airfield in southwestern France.
  • E. LFKF
    LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
  • 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: LF4
Triple: [GM High Feature V6 engines, familyMember, LF4]
Generated description
LF4 is a high-performance twin-turbocharged 3.6-liter V6 engine used in select Cadillac models, known for its strong power output and advanced engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LF4
Target entity description: LF4 is a high-performance twin-turbocharged 3.6-liter V6 engine used in select Cadillac models, known for its strong power output and advanced engineering.
  • A. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • B. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • C. LFA
    LFA is the governing body responsible for overseeing and organizing football activities and competitions in Liberia.
  • D. LFBR
    LFBR is the ICAO airport code for Muret – Lherm Aerodrome, a regional airfield in southwestern France.
  • E. LFKF
    LFKF is the ICAO airport code for Figari–Sud Corse Airport, a regional airport serving the southern part of Corsica, France.
  • 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.