Triple

T17558282
Position Surface form Disambiguated ID Type / Status
Subject Oracle Forms E427637 entity
Predicate historicalName P65 FINISHED
Object SQL*Forms NE NERFINISHED

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: SQL*Forms | Statement: [Oracle Forms, historicalName, SQL*Forms]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SQL*Forms
Context triple: [Oracle Forms, historicalName, SQL*Forms]
  • A. Oracle Forms chosen
    Oracle Forms is a long-standing Oracle development tool for building and deploying data-intensive, form-based applications that run against Oracle databases.
  • B. Oracle Application Express
    Oracle Application Express (APEX) is a low-code web application development framework for building scalable, database-driven applications on Oracle Database.
  • C. SQL*Plus
    SQL*Plus is Oracle's command-line tool for interacting with Oracle databases, allowing users to execute SQL and PL/SQL commands and perform administrative tasks.
  • D. Oracle Reports
    Oracle Reports is an Oracle tool for designing, generating, and publishing complex database reports, often integrated with PL/SQL-based applications.
  • E. dBASE
    dBASE is one of the earliest and most influential database management systems for microcomputers, widely used in the 1980s for business and application development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45624bfe08190991dc088394a5af4 completed April 19, 2026, 4:12 a.m.
Created at: April 10, 2026, 5:50 a.m.