Triple

T4022912
Position Surface form Disambiguated ID Type / Status
Subject Australian Multicam Camouflage Uniform E91319 entity
Predicate abbreviation P43 FINISHED
Object AMCU
AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
 E406846 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: AMCU | Statement: [Australian Multicam Camouflage Uniform, abbreviation, AMCU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMCU
Context triple: [Australian Multicam Camouflage Uniform, abbreviation, AMCU]
  • A. AMCM
    AMCM is the Monetary Authority of Macao, the central banking and financial regulatory institution responsible for overseeing the territory’s currency and financial system.
  • B. AMKC
    AMKC is a large jail facility on Rikers Island in New York City, named after former Correction Commissioner Anna M. Kross.
  • C. AMX
    AMX is the ICAO airline designator used to identify Aeroméxico in international aviation operations and communications.
  • D. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • E. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • 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: AMCU
Triple: [Australian Multicam Camouflage Uniform, abbreviation, AMCU]
Generated description
AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMCU
Target entity description: AMCU is the Australian Defence Force’s modern combat uniform pattern designed to provide effective camouflage across a wide range of Australian environments.
  • A. AMCM
    AMCM is the Monetary Authority of Macao, the central banking and financial regulatory institution responsible for overseeing the territory’s currency and financial system.
  • B. AMKC
    AMKC is a large jail facility on Rikers Island in New York City, named after former Correction Commissioner Anna M. Kross.
  • C. AMX
    AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
  • D. AMX
    AMX is the ICAO airline designator used to identify Aeroméxico in international aviation operations and communications.
  • E. AMRO
    AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c82a33881908eb1b53331b10791 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54d41fa008190972411203c8a07f2 completed March 14, 2026, 11:57 a.m.
NED2 Entity disambiguation (via description) batch_69b54deeeac881909cc951927e51111f completed March 14, 2026, noon
Created at: March 9, 2026, 3:35 p.m.