Triple

T12562558
Position Surface form Disambiguated ID Type / Status
Subject System R E295384 entity
Predicate implementedFeature P203 FINISHED
Object SQL query language E5275 NE FINISHED

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: SQL query language | Statement: [System R, implementedFeature, SQL query language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SQL query language
Context triple: [System R, implementedFeature, SQL query language]
  • A. SQL chosen
    SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
  • B. SQL API
    SQL API is a query interface in Apache Flink that lets users define streaming and batch data processing logic using standard SQL syntax.
  • C. Rapid SQL
    Rapid SQL is a database development and SQL IDE tool from Embarcadero Technologies designed to help developers and DBAs build, test, and optimize SQL code across multiple database platforms.
  • D. SLQ
    SLQ is the National Rail station code for St Leonards Warrior Square railway station in East Sussex, England.
  • E. SLQ
    SLQ is the IATA airport code for the small public airport serving the remote community of Sleetmute in western Alaska, United States.
  • 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: implementedFeature
Context triple: [System R, implementedFeature, SQL query language]
  • A. supportsFeature chosen
    Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
  • B. implementedOn
    Indicates that something (such as a feature, standard, or specification) is realized, executed, or put into effect within or on a particular platform, system, or environment.
  • C. aimedToImplement
    Indicates that an entity had the intention or plan to carry out, realize, or put another entity (such as a policy, idea, or system) into effect.
  • D. developmentFeature
    Indicates that one entity serves as a developmental feature, aspect, or component of another entity within a growth or improvement process.
  • E. featureAdded
    Indicates that a new feature has been introduced or incorporated into a system, product, or entity.
  • F. None of above.

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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9550d84908190aea0f50055f6d92e completed April 10, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
PD Predicate disambiguation batch_69d95414692881909c52a1de7d224b44 completed April 10, 2026, 7:48 p.m.
Created at: April 8, 2026, 11:48 p.m.