Triple

T13328008
Position Surface form Disambiguated ID Type / Status
Subject MKE E317491 entity
Predicate shortName P43 FINISHED
Object MKEK
MKEK is a Turkish defense and aerospace company known for producing firearms, ammunition, and military equipment.
E1034482 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: MKEK | Statement: [MKE, shortName, MKEK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKEK
Context triple: [MKE, shortName, MKEK]
  • A. MEKA
    MEKA is the South Korean mobile exo-force unit in the Overwatch universe that pilots advanced mechs to defend the country from omnic threats.
  • B. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • C. Kimtech
    Kimtech is a Kimberly-Clark brand specializing in professional-grade wipes, tissues, and protective products for cleanrooms, laboratories, and other controlled environments.
  • D. K2 assault rifle
    The K2 assault rifle is a South Korean 5.56×45mm NATO service rifle developed by Daewoo as the standard-issue firearm for the Republic of Korea Armed Forces.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • 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: MKEK
Triple: [MKE, shortName, MKEK]
Generated description
MKEK is a Turkish defense and aerospace company known for producing firearms, ammunition, and military equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MKEK
Target entity description: MKEK is a Turkish defense and aerospace company known for producing firearms, ammunition, and military equipment.
  • A. MEKA
    MEKA is the South Korean mobile exo-force unit in the Overwatch universe that pilots advanced mechs to defend the country from omnic threats.
  • B. EKM
    EKM is a Protestant regional church body in Germany that forms part of the Evangelical Church in Germany (EKD).
  • C. Kimtech
    Kimtech is a Kimberly-Clark brand specializing in professional-grade wipes, tissues, and protective products for cleanrooms, laboratories, and other controlled environments.
  • D. K2 assault rifle
    The K2 assault rifle is a South Korean 5.56×45mm NATO service rifle developed by Daewoo as the standard-issue firearm for the Republic of Korea Armed Forces.
  • E. Mosina
    Mosina is an alternative name for Vurës, a language spoken on the island of Vanua Lava in Vanuatu.
  • 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_69d806b4d62c81908d4ced1665414be5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9992d3b0881909732fbb8db98e44c completed April 11, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2f69a88190b11e61a922786fc4 completed May 3, 2026, 10:10 a.m.
NEDg Description generation batch_69f71fe3cda881909916f7aac0664ead completed May 3, 2026, 10:13 a.m.
NED2 Entity disambiguation (via description) batch_69f7208d47388190b1b51f346b0d1423 completed May 3, 2026, 10:16 a.m.
Created at: April 9, 2026, 9:30 p.m.