Triple

T3665593
Position Surface form Disambiguated ID Type / Status
Subject All-American Road E77750 entity
Predicate hasAbbreviation P43 FINISHED
Object AAR
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
E377199 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: AAR | Statement: [All-American Road, hasAbbreviation, AAR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AAR
Context triple: [All-American Road, hasAbbreviation, AAR]
  • A. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • D. AAI
    AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
  • E. AEARU
    AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
  • 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: AAR
Triple: [All-American Road, hasAbbreviation, AAR]
Generated description
AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: AAR
Target entity description: AAR is the commonly used abbreviation for All-American Road, a designation for particularly scenic and culturally significant highways in the United States.
  • A. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • B. AAR
    AAR is the ICAO airline designator used to identify Asiana Airlines in international aviation operations and communications.
  • C. AER
    AER is a leading peer-reviewed academic journal in economics published by the American Economic Association.
  • D. AAI
    AAI is India’s government-owned organization responsible for creating, maintaining, and managing civil aviation infrastructure and air traffic services across the country’s airports and airspace.
  • E. AEARU
    AEARU (Association of East Asian Research Universities) is a consortium of leading research-intensive universities in East Asia that promotes academic collaboration and exchange among its member institutions.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc400352081908c16a6a7670eb52a completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4884bd50c8190a334e9aadc734364 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b4906d6190819086bd51f96d3ffdcc completed March 13, 2026, 10:32 p.m.
NED2 Entity disambiguation (via description) batch_69b4add30904819082ed6f6ee5918e57 completed March 14, 2026, 12:37 a.m.
Created at: March 8, 2026, 3:25 p.m.