Triple

T10967881
Position Surface form Disambiguated ID Type / Status
Subject American Dental Education Association E259154 entity
Predicate abbreviation P43 FINISHED
Object ADEA
ADEA is the leading national organization representing academic dentistry and dental education institutions in the United States and Canada.
 E897399 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: ADEA | Statement: [American Dental Education Association, abbreviation, ADEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ADEA
Context triple: [American Dental Education Association, abbreviation, ADEA]
  • A. ADEA
    ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
  • B. EAEDC
    EAEDC is a Massachusetts state cash assistance program that provides financial support to certain low-income individuals who are elderly, disabled, or caring for disabled or absent family members.
  • C. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • D. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • E. AdE
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • 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: ADEA
Triple: [American Dental Education Association, abbreviation, ADEA]
Generated description
ADEA is the leading national organization representing academic dentistry and dental education institutions in the United States and Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ADEA
Target entity description: ADEA is the leading national organization representing academic dentistry and dental education institutions in the United States and Canada.
  • A. ADEA
    ADEA is a U.S. federal law that protects workers aged 40 and older from age-based discrimination in employment.
  • B. EAEDC
    EAEDC is a Massachusetts state cash assistance program that provides financial support to certain low-income individuals who are elderly, disabled, or caring for disabled or absent family members.
  • C. AADA
    AADA is a renowned conservatory-style acting school in the United States known for training stage, film, and television performers.
  • D. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • E. AdE
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7714ab8588190874289f84a132fe1 completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d78156c48190a956dc22b9832bcb completed April 18, 2026, 12:59 a.m.
NEDg Description generation batch_69e2ff1ffb8c8190ba97f3c2e3c8c601 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e3261cc4f48190ba0e5645f37cd4b5 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.