Triple

T17559608
Position Surface form Disambiguated ID Type / Status
Subject LAMP stack E427664 entity
Predicate typicalDatabaseEngine P127936 FINISHED
Object InnoDB NE NERFINISHED

How this triple was built (3 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: InnoDB | Statement: [LAMP stack, typicalDatabaseEngine, InnoDB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: InnoDB
Context triple: [LAMP stack, typicalDatabaseEngine, InnoDB]
  • A. InnoDB storage engine chosen
    InnoDB storage engine is a widely used transactional storage engine for MySQL that provides ACID compliance, row-level locking, and crash recovery for reliable, high-performance database operations.
  • B. TokuDB
    TokuDB is a high-performance storage engine for MySQL and MariaDB designed for large-scale, write-intensive workloads using Fractal Tree indexing to improve compression and insertion speed.
  • C. MyISAM storage engine
    The MyISAM storage engine is a legacy MySQL table format known for fast read performance, simple design, and lack of transactional and foreign key support.
  • D. Percona XtraDB
    Percona XtraDB is an enhanced, high-performance fork of the InnoDB storage engine used in MySQL and MariaDB, optimized for improved scalability, reliability, and performance.
  • E. MariaDB
    MariaDB is an open-source relational database management system, forked from MySQL, known for its compatibility, performance, and community-driven development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalDatabaseEngine
Context triple: [LAMP stack, typicalDatabaseEngine, InnoDB]
  • A. databaseType
    Indicates the specific kind or category of database technology associated with an entity.
  • B. usedInDatabases
    Indicates that something is employed or implemented within one or more database systems or database contexts.
  • C. primaryDatabaseFormat
    Indicates the main data storage format or structure used by a database as its default or principal representation.
  • D. typicalEngine
    Indicates that an entity is the standard or commonly used engine for another entity (such as a vehicle, device, or system).
  • E. primaryDatabase
    Indicates that one database serves as the main or authoritative data source in relation to another system or database.
  • F. None of above. chosen

Provenance (4 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562573e48190a19f30fe915a5455 completed April 19, 2026, 4:12 a.m.
PD Predicate disambiguation batch_69e3b4fb39948190a82a597c5bac5c57 completed April 18, 2026, 4:44 p.m.
PDg Predicate description generation batch_69e3bbb50b448190a59dd4be33c76db7 completed April 18, 2026, 5:13 p.m.
Created at: April 10, 2026, 5:50 a.m.