Triple

T15924301
Position Surface form Disambiguated ID Type / Status
Subject Kosovo Protection Corps E386167 entity
Predicate hasAbbreviation P43 FINISHED
Object TMK
TMK is the abbreviation for the Kosovo Protection Corps, a civil emergency and disaster response organization that succeeded the Kosovo Liberation Army after the Kosovo War.
 E1184624 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: TMK | Statement: [Kosovo Protection Corps, hasAbbreviation, TMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TMK
Context triple: [Kosovo Protection Corps, hasAbbreviation, TMK]
  • A. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. TMMK
    TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
  • D. NMK
    NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
  • E. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • 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: TMK
Triple: [Kosovo Protection Corps, hasAbbreviation, TMK]
Generated description
TMK is the abbreviation for the Kosovo Protection Corps, a civil emergency and disaster response organization that succeeded the Kosovo Liberation Army after the Kosovo War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TMK
Target entity description: TMK is the abbreviation for the Kosovo Protection Corps, a civil emergency and disaster response organization that succeeded the Kosovo Liberation Army after the Kosovo War.
  • A. TKM
    TKM is the three-letter ISO 3166-1 alpha-3 country code assigned to Turkmenistan.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. TMMK
    TMMK is Toyota’s large-scale automobile manufacturing plant in Georgetown, Kentucky, known for producing popular Toyota and Lexus models for the North American market.
  • D. NMK
    NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
  • E. T-MEC
    T-MEC is the Spanish-language name for the United States–Mexico–Canada Agreement, the trade pact that replaced NAFTA in North America.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1568424f08190bffe6ee465a0db9a completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5aba70c8190a74c45bce6f9b782 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb6866e388190ad7ee4e3923bef17 completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb753d1f4819096fd0a8ea7fc4a8e completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:52 a.m.