Triple

T18003871
Position Surface form Disambiguated ID Type / Status
Subject Army Applications Laboratory E430694 entity
Predicate abbreviation P43 FINISHED
Object AAL
AAL is the abbreviation for the U.S. Army Applications Laboratory, an innovation-focused organization that develops and transitions new technologies to meet Army operational needs.
 E1300328 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: AAL | Statement: [Army Applications Laboratory, abbreviation, AAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AAL
Context triple: [Army Applications Laboratory, abbreviation, AAL]
  • A. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • B. AAL
    AAL is the IATA airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
  • C. AL_A
    AL_A is a London-based architecture studio founded by Amanda Levete, known for its innovative, sculptural designs and major cultural projects worldwide.
  • D. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • E. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • 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: AAL
Triple: [Army Applications Laboratory, abbreviation, AAL]
Generated description
AAL is the abbreviation for the U.S. Army Applications Laboratory, an innovation-focused organization that develops and transitions new technologies to meet Army operational needs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AAL
Target entity description: AAL is the abbreviation for the U.S. Army Applications Laboratory, an innovation-focused organization that develops and transitions new technologies to meet Army operational needs.
  • A. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • B. AAL
    AAL is the IATA airport code for Aalborg Airport, an international airport serving the city of Aalborg in northern Denmark.
  • C. AL_A
    AL_A is a London-based architecture studio founded by Amanda Levete, known for its innovative, sculptural designs and major cultural projects worldwide.
  • D. AUL
    AUL is the ICAO airline designator assigned to the Russian carrier Smartavia.
  • E. AUL
    AUL is an abbreviation used in Massachusetts environmental regulation to denote an Activity and Use Limitation, a legal restriction placed on how a contaminated property may be used.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3eb1f748190904c8894d22cf85f completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b6b7e48190a649dda888450b2d completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca755e08190aa5003164b49f196 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d7a601c8190a4746adfdfffbca8 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.