Triple

T7421339
Position Surface form Disambiguated ID Type / Status
Subject Ashton-Tate E171252 entity
Predicate notableProduct P1448 FINISHED
Object dBASE II E662824 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: dBASE II | Statement: [Ashton-Tate, notableProduct, dBASE II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: dBASE II
Context triple: [Ashton-Tate, notableProduct, dBASE II]
  • A. dBASE chosen
    dBASE is one of the earliest and most influential database management systems for microcomputers, widely used in the 1980s for business and application development.
  • B. xBase (for dBASE)
    xBase (for dBASE) is a family of database-oriented programming languages derived from the original dBASE system, widely used for developing desktop database applications.
  • C. xBase language
    xBase language is a family of database-oriented programming languages derived from dBASE, widely used in the 1980s and 1990s for developing desktop database applications.
  • D. InterBase
    InterBase is a lightweight, cross-platform relational database management system known for its small footprint, embedded deployment capabilities, and support for SQL-based applications.
  • E. Sybase
    Sybase is a pioneering enterprise software company best known for its relational database management systems and data management solutions, later acquired by SAP.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2ebc520819087cfc2eb9dda0e17 completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8344541308190af8d90633cd92645 completed March 28, 2026, 8:04 p.m.
Created at: March 27, 2026, 3:11 p.m.