Triple

T931890
Position Surface form Disambiguated ID Type / Status
Subject United Kingdom Ministry of Defence E20109 entity
Predicate abbreviation P43 FINISHED
Object MOD
MOD is the commonly used abbreviation for the United Kingdom’s Ministry of Defence, the government department responsible for implementing defense policy and overseeing the armed forces.
E109651 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: MOD | Statement: [United Kingdom Ministry of Defence, abbreviation, MOD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOD
Context triple: [United Kingdom Ministry of Defence, abbreviation, MOD]
  • A. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • B. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • C. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • D. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • E. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • 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: MOD
Triple: [United Kingdom Ministry of Defence, abbreviation, MOD]
Generated description
MOD is the commonly used abbreviation for the United Kingdom’s Ministry of Defence, the government department responsible for implementing defense policy and overseeing the armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MOD
Target entity description: MOD is the commonly used abbreviation for the United Kingdom’s Ministry of Defence, the government department responsible for implementing defense policy and overseeing the armed forces.
  • A. MET
    MET is the standard abbreviation used for the National Hockey League's Metropolitan Division.
  • B. MC
    MC is the official abbreviation for NATO’s highest military authority, the NATO Military Committee.
  • C. MC
    MC is the postnominal abbreviation used to denote recipients of the Military Cross, a British military decoration awarded for gallantry during active operations against the enemy.
  • D. .mo
    .mo is the country code top-level domain (ccTLD) assigned to the Macao Special Administrative Region of China for use on the internet.
  • E. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • 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_69a493af3dc48190adb7263e6e445ea1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b34c457c819085cbfa0c798cb4c6 completed March 1, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7ee1108188190a26c73864c697061 completed March 4, 2026, 8:32 a.m.
NEDg Description generation batch_69a7f1a1214481909538745d5713e402 completed March 4, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_69a7f2303534819094ae764b20d223ee completed March 4, 2026, 8:49 a.m.
Created at: March 1, 2026, 7:40 p.m.