Triple

T7628585
Position Surface form Disambiguated ID Type / Status
Subject Kia Motors manufacturing plant (West Point, Georgia) E172699 entity
Predicate abbreviation P43 FINISHED
Object KMMG
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
 E678697 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: KMMG | Statement: [Kia Motors manufacturing plant (West Point, Georgia), abbreviation, KMMG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMMG
Context triple: [Kia Motors manufacturing plant (West Point, Georgia), abbreviation, KMMG]
  • A. KMG
    KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • D. KMC
    KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
  • E. KMA
    KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
  • 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: KMMG
Triple: [Kia Motors manufacturing plant (West Point, Georgia), abbreviation, KMMG]
Generated description
KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMMG
Target entity description: KMMG is Kia’s large-scale automobile manufacturing facility located in West Point, Georgia, producing vehicles for the North American market.
  • A. KMG
    KMG is the IATA airport code for Kunming Changshui International Airport, a major air transport hub serving Kunming in Yunnan Province, China.
  • B. KSMF
    KSMF is the ICAO airport code for Sacramento International Airport, a major commercial airport serving California’s capital region.
  • C. KMC
    KMC is the municipal governing body responsible for providing and managing civic services and infrastructure in Karachi, Pakistan.
  • D. KMC
    KMC is the commonly used abbreviation for Kirori Mal College, a prominent constituent college of the University of Delhi in India.
  • E. KMA
    KMA is the commonly used abbreviation for the Royal Swedish Academy of Music, Sweden’s national institution dedicated to the advancement of musical art and scholarship.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa831f508190ab2f72326cdf4497 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870af222481909e341eebb78664d6 completed March 29, 2026, 12:22 a.m.
NEDg Description generation batch_69c8723391f48190b60ba8952c9ccca7 completed March 29, 2026, 12:28 a.m.
NED2 Entity disambiguation (via description) batch_69c87401aaa48190b3e44298fcd3f37f completed March 29, 2026, 12:36 a.m.
Created at: March 27, 2026, 3:56 p.m.