Triple

T287784
Position Surface form Disambiguated ID Type / Status
Subject Royal Military Academy (Belgium) E5922 entity
Predicate abbreviation P43 FINISHED
Object KMS
KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
 E37223 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: KMS | Statement: [Royal Military Academy (Belgium), abbreviation, KMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KMS
Context triple: [Royal Military Academy (Belgium), abbreviation, KMS]
  • A. KSAN
    KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
  • B. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • C. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. Key
    Key is a common English surname borne by various notable individuals, including American lawyer and national anthem lyricist Francis Scott Key.
  • 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: KMS
Triple: [Royal Military Academy (Belgium), abbreviation, KMS]
Generated description
KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KMS
Target entity description: KMS is the Dutch abbreviation for the Royal Military Academy in Belgium, the institution responsible for training officers for the Belgian Armed Forces.
  • A. KSAN
    KSAN is the ICAO airport code for San Diego International Airport, a major commercial airport serving the San Diego, California area.
  • B. KBE
    KBE is an abbreviation that most commonly refers to "Knight Commander of the Order of the British Empire," a high-ranking honor in the British honours system.
  • C. Kt
    Kt is the post-nominal abbreviation used to denote a Knight Bachelor in the British honours system.
  • D. KC
    KC is a common shorthand nickname for Kansas City, Missouri, a major Midwestern U.S. city known for its jazz heritage, barbecue, and sports teams.
  • E. Key
    Key is a common English surname borne by various notable individuals, including American lawyer and national anthem lyricist Francis Scott Key.
  • 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_69a25946a7ac8190a78871c210213272 completed Feb. 28, 2026, 2:56 a.m.
NER Named-entity recognition batch_69a25e2ddaa88190b08c40b5823f30a0 completed Feb. 28, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69a39d08ef048190b0b382f8a0bc6c87 completed March 1, 2026, 1:57 a.m.
NEDg Description generation batch_69a39d8923608190b7bdda99a3534c1c completed March 1, 2026, 1:59 a.m.
NED2 Entity disambiguation (via description) batch_69a39dec8b5c8190a42520806bcad8e5 completed March 1, 2026, 2:01 a.m.
Created at: Feb. 28, 2026, 3:02 a.m.