Triple

T379161
Position Surface form Disambiguated ID Type / Status
Subject American Bar Association E8638 entity
Predicate abbreviation P43 FINISHED
Object ABA E8638 NE FINISHED

How this triple was built (2 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: ABA | Statement: [American Bar Association, abbreviation, ABA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABA
Context triple: [American Bar Association, abbreviation, ABA]
  • A. ABA chosen
    ABA is the commonly used acronym for the American Bar Association, the national professional organization for lawyers and the legal profession in the United States.
  • B. ABA
    The ABA (American Basketball Association) was a professional basketball league that operated in the United States from 1967 to 1976 and later merged with the NBA, known for its flashy style, three-point line, and red-white-and-blue basketball.
  • C. ACA
    ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
  • D. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • E. AAC
    AAC (Advanced Audio Coding) is a widely used digital audio compression format known for delivering better sound quality than MP3 at similar bit rates and is commonly used in online music stores and streaming services.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2b07248190979229bad3a741c9 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3fafe091881908fdf8ddbb6b8a7e6 completed March 1, 2026, 8:38 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.