Triple

T2701686
Position Surface form Disambiguated ID Type / Status
Subject Battle Dress Uniform E59244 entity
Predicate hasAcronym P43 FINISHED
Object BDU
BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
 E290802 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: BDU | Statement: [Battle Dress Uniform, hasAcronym, BDU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BDU
Context triple: [Battle Dress Uniform, hasAcronym, BDU]
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. BDT
    BDT is the ISO 4217 currency code for the Bangladeshi taka, the official currency of Bangladesh.
  • C. BDF
    The BDF is the national military organization of the Kingdom of Bahrain, responsible for the country's defense and security.
  • D. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • E. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • 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: BDU
Triple: [Battle Dress Uniform, hasAcronym, BDU]
Generated description
BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BDU
Target entity description: BDU is a military uniform type commonly associated with the standard camouflage combat attire used by the U.S. armed forces from the early 1980s through the mid-2000s.
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. BDT
    BDT is the ISO 4217 currency code for the Bangladeshi taka, the official currency of Bangladesh.
  • C. BDF
    The BDF is the national military organization of the Kingdom of Bahrain, responsible for the country's defense and security.
  • D. BND
    BND is the official currency code for the Brunei dollar, the national currency of Brunei Darussalam.
  • E. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda4e679c8190a2926284568d9020 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf76caec8190930ead7931f7ea91 completed March 10, 2026, 5:43 a.m.
NEDg Description generation batch_69afb01c248c81909af7358da96aa588 completed March 10, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69afb0ae71888190ab0675b7897f1589 completed March 10, 2026, 5:48 a.m.
Created at: March 6, 2026, 9:55 p.m.