Triple

T12619301
Position Surface form Disambiguated ID Type / Status
Subject U.S. Army Research Laboratory E301337 entity
Predicate abbreviation P43 FINISHED
Object ARL
ARL is the primary scientific research and development laboratory of the United States Army, focused on advancing cutting-edge technologies to support national defense.
 E992150 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: ARL | Statement: [U.S. Army Research Laboratory, abbreviation, ARL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ARL
Context triple: [U.S. Army Research Laboratory, abbreviation, ARL]
  • A. ARL
    ARL is the airport rail link service connecting central Bangkok with Suvarnabhumi International Airport.
  • B. ARL
    ARL (Australian Rugby League) was the top-level rugby league competition in Australia during the mid-1990s, preceding the formation of the National Rugby League (NRL).
  • C. ALRN
    ALRN is the commonly used abbreviation for the Legislative Assembly of the Brazilian state of Rio Grande do Norte, its unicameral state legislature.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • 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: ARL
Triple: [U.S. Army Research Laboratory, abbreviation, ARL]
Generated description
ARL is the primary scientific research and development laboratory of the United States Army, focused on advancing cutting-edge technologies to support national defense.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ARL
Target entity description: ARL is the primary scientific research and development laboratory of the United States Army, focused on advancing cutting-edge technologies to support national defense.
  • A. ARL
    ARL (Australian Rugby League) was the top-level rugby league competition in Australia during the mid-1990s, preceding the formation of the National Rugby League (NRL).
  • B. ARL
    ARL is the airport rail link service connecting central Bangkok with Suvarnabhumi International Airport.
  • C. ALRN
    ALRN is the commonly used abbreviation for the Legislative Assembly of the Brazilian state of Rio Grande do Norte, its unicameral state legislature.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c75c9c819092265ebc2b39f21d completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed507988190b9d46586f3c3584c completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f65fb03b248190b264230b84b17635 completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f6608ec32c8190803c6f5677c300d6 completed May 2, 2026, 8:37 p.m.
Created at: April 9, 2026, 5:13 p.m.