Triple

T12980460
Position Surface form Disambiguated ID Type / Status
Subject American Geriatrics Society E321638 entity
Predicate abbreviation P43 FINISHED
Object AGS
AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
 E1013876 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: AGS | Statement: [American Geriatrics Society, abbreviation, AGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGS
Context triple: [American Geriatrics Society, abbreviation, AGS]
  • A. AGS
    AGS is the three-letter IATA airport code for Augusta Regional Airport, a public airport serving Augusta, Georgia, in the United States.
  • B. AGS
    AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • C. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • D. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • E. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • 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: AGS
Triple: [American Geriatrics Society, abbreviation, AGS]
Generated description
AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGS
Target entity description: AGS is a professional organization in the United States dedicated to improving the health, independence, and quality of life of older adults through geriatrics research, education, and clinical care.
  • A. AGS
    AGS is the three-letter IATA airport code for Augusta Regional Airport, a public airport serving Augusta, Georgia, in the United States.
  • B. AGS
    AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • C. AG
    AG is the two-letter ISO 3166-1 alpha-2 country code assigned to Antigua and Barbuda.
  • D. AG
    AG is the vehicle registration code used on license plates for cars registered in Argeș County, Romania.
  • E. AG
    AG is an Indonesian vehicle registration code used for motor vehicles registered in certain regions of East Java, including Trenggalek.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5b993481908f94fe096ade441b completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f200c88190a2aab15373cbedf5 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:39 p.m.