Triple

T15106603
Position Surface form Disambiguated ID Type / Status
Subject Kinetic Energy Penetrator and Destroyer E360802 entity
Predicate hasAcronym P43 FINISHED
Object KEPD
KEPD is a precision-guided, long-range air-to-surface cruise missile designed to penetrate and destroy hardened, high-value targets.
 E1138474 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: KEPD | Statement: [Kinetic Energy Penetrator and Destroyer, hasAcronym, KEPD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KEPD
Context triple: [Kinetic Energy Penetrator and Destroyer, hasAcronym, KEPD]
  • A. EKP
    EKP is the commonly used abbreviation for the Evangelical Church of the Palatinate, a Protestant regional church in southwestern Germany.
  • B. KEP
    KEP is the IATA airport code for Nepalgunj Airport, a regional airport serving the city of Nepalgunj in southwestern Nepal.
  • C. KECP
    KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
  • D. Diehl
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • E. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • 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: KEPD
Triple: [Kinetic Energy Penetrator and Destroyer, hasAcronym, KEPD]
Generated description
KEPD is a precision-guided, long-range air-to-surface cruise missile designed to penetrate and destroy hardened, high-value targets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KEPD
Target entity description: KEPD is a precision-guided, long-range air-to-surface cruise missile designed to penetrate and destroy hardened, high-value targets.
  • A. EKP
    EKP is the commonly used abbreviation for the Evangelical Church of the Palatinate, a Protestant regional church in southwestern Germany.
  • B. KEP
    KEP is the IATA airport code for Nepalgunj Airport, a regional airport serving the city of Nepalgunj in southwestern Nepal.
  • C. KECP
    KECP is the ICAO airport code for Northwest Florida Beaches International Airport, a commercial airport serving the Panama City, Florida area.
  • D. Diehl
    Diehl is the middle name of Newton D. Baker, an American lawyer and politician who served as U.S. Secretary of War during World War I.
  • E. KEH
    KEH is the vehicle registration code used on license plates for vehicles registered in the Kelheim district of Bavaria, Germany.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00588f35481909674f161bf0f3918 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feb7e912ac8190bd0e0c9cdbbd0194 completed May 9, 2026, 4:28 a.m.
NEDg Description generation batch_69feba1d256c8190ba13379d0cb8135c completed May 9, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69feba93c4cc819083c683210d1f03f8 completed May 9, 2026, 4:39 a.m.
Created at: April 10, 2026, 3:05 a.m.