Triple

T8711600
Position Surface form Disambiguated ID Type / Status
Subject American Geographical Society E206788 entity
Predicate hasAbbreviation P43 FINISHED
Object AGS
AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
 E753736 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 Geographical Society, hasAbbreviation, AGS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AGS
Context triple: [American Geographical Society, hasAbbreviation, 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. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • 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 the common abbreviation for the Christian missions organization To the Nations.
  • 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 Geographical Society, hasAbbreviation, AGS]
Generated description
AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AGS
Target entity description: AGS is the commonly used abbreviation for the American Geographical Society, a scholarly organization dedicated to advancing geographic research and education.
  • 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. AG
    AG is the standard abbreviation for the United States Attorney General, the chief law enforcement officer and head of the U.S. Department of Justice.
  • 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 the common abbreviation for the Christian missions organization To the Nations.
  • 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_69ca83572d4881909bef3be2b578d539 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5c3189f88190bb9bb77ba9d28d60 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28c174008190bc2d43ca613e9a9e completed April 3, 2026, 2:41 a.m.
NEDg Description generation batch_69cf2bd14c3c8190b43840ee57cca22c completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2cb3c4308190971fb3d25064f205 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.