Triple

T21815896
Position Surface form Disambiguated ID Type / Status
Subject 3.4L DOHC V6 (LQ1) E538604 entity
Predicate engineCode P44382 FINISHED
Object LQ1
LQ1 is a 3.4-liter dual overhead cam V6 gasoline engine produced by General Motors in the 1990s, commonly used in performance-oriented front-wheel-drive cars like the Chevrolet Lumina Z34 and Pontiac Grand Prix GTP.
 E1503578 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: LQ1 | Statement: [3.4L DOHC V6 (LQ1), engineCode, LQ1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LQ1
Context triple: [3.4L DOHC V6 (LQ1), engineCode, LQ1]
  • A. LQ
    LQ is the IATA airline designator formerly used by Japan’s Southwest Air Lines, a regional carrier that later became part of Japan Transocean Air.
  • B. QL1A
    QL1A is Vietnam’s primary north–south national highway, running the length of the country and connecting most major cities and regions.
  • C. LQMO
    LQMO is the ICAO airport code for Mostar International Airport in Bosnia and Herzegovina.
  • D. LQM
    LQM is the IATA airport code for the airport serving Puerto Leguízamo in Colombia.
  • E. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • 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: LQ1
Triple: [3.4L DOHC V6 (LQ1), engineCode, LQ1]
Generated description
LQ1 is a 3.4-liter dual overhead cam V6 gasoline engine produced by General Motors in the 1990s, commonly used in performance-oriented front-wheel-drive cars like the Chevrolet Lumina Z34 and Pontiac Grand Prix GTP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LQ1
Target entity description: LQ1 is a 3.4-liter dual overhead cam V6 gasoline engine produced by General Motors in the 1990s, commonly used in performance-oriented front-wheel-drive cars like the Chevrolet Lumina Z34 and Pontiac Grand Prix GTP.
  • A. LQ
    LQ is the IATA airline designator formerly used by Japan’s Southwest Air Lines, a regional carrier that later became part of Japan Transocean Air.
  • B. QL1A
    QL1A is Vietnam’s primary north–south national highway, running the length of the country and connecting most major cities and regions.
  • C. LQMO
    LQMO is the ICAO airport code for Mostar International Airport in Bosnia and Herzegovina.
  • D. LQM
    LQM is the IATA airport code for the airport serving Puerto Leguízamo in Colombia.
  • E. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07ccac9f08190b835ee7a40ecf4c2 completed April 28, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a45dcc6348190a6abc48c63d646d7 completed May 17, 2026, 10:49 p.m.
NEDg Description generation batch_6a0a46b14e908190bcf47b81107f896c completed May 17, 2026, 10:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4776a5e481909bcdf12c953439d6 completed May 17, 2026, 10:55 p.m.
Created at: April 16, 2026, 6:54 p.m.