Triple

T15786358
Position Surface form Disambiguated ID Type / Status
Subject Kenyan Armed Forces E382747 entity
Predicate abbreviation P43 FINISHED
Object KDF
KDF is the national military organization of Kenya responsible for defending the country’s sovereignty and territorial integrity.
 E1176145 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: KDF | Statement: [Kenyan Armed Forces, abbreviation, KDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KDF
Context triple: [Kenyan Armed Forces, abbreviation, KDF]
  • A. KDH
    KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
  • B. DKD
    DKD is the National Rail station code for Dunkeld and Birnam railway station in Scotland.
  • C. KSDF
    KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
  • D. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • E. KDTK
    KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
  • 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: KDF
Triple: [Kenyan Armed Forces, abbreviation, KDF]
Generated description
KDF is the national military organization of Kenya responsible for defending the country’s sovereignty and territorial integrity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KDF
Target entity description: KDF is the national military organization of Kenya responsible for defending the country’s sovereignty and territorial integrity.
  • A. KDH
    KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
  • B. DKD
    DKD is the National Rail station code for Dunkeld and Birnam railway station in Scotland.
  • C. KSDF
    KSDF is the ICAO airport code for Louisville Muhammad Ali International Airport in Louisville, Kentucky, United States.
  • D. KNF
    KNF is the IATA airport code for RAF Marham, a Royal Air Force station in Norfolk, England.
  • E. KDTK
    KDTK is the station code for Kadugodi Tree Park metro station on the Namma Metro network in Bengaluru, India.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0540380448190a025338f0e62e6d1 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff90a6365c8190833431cf079b21fb completed May 9, 2026, 7:53 p.m.
NEDg Description generation batch_69ff916638048190ad4a6c85da9cef9d completed May 9, 2026, 7:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff91cf6f7c81908361f85c9a98ae80 completed May 9, 2026, 7:58 p.m.
Created at: April 10, 2026, 4:48 a.m.