Triple

T14370696
Position Surface form Disambiguated ID Type / Status
Subject Apple Calendar Server E356350 entity
Predicate supportsDatabaseBackend P11852 FINISHED
Object PostgreSQL E17669 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: PostgreSQL | Statement: [Apple Calendar Server, supportsDatabaseBackend, PostgreSQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PostgreSQL
Context triple: [Apple Calendar Server, supportsDatabaseBackend, PostgreSQL]
  • A. PostgreSQL chosen
    PostgreSQL is a powerful open-source relational database management system known for its robustness, extensibility, and strong standards compliance.
  • B. Greenplum
    Greenplum is a massively parallel, open-source data warehouse and analytics platform designed for large-scale business intelligence and big data workloads.
  • C. PostgreSQL documentation
    PostgreSQL documentation is the official, comprehensive reference and user guide for the PostgreSQL relational database system, covering its features, configuration, and extensions.
  • D. PolarDB
    PolarDB is a cloud-native relational database service developed by Alibaba Cloud that provides high performance, scalability, and compatibility with popular database engines.
  • E. PostGIS
    PostGIS is an open-source spatial database extender that adds robust geographic object support and spatial querying capabilities to PostgreSQL.
  • 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: supportsDatabaseBackend
Context triple: [Apple Calendar Server, supportsDatabaseBackend, PostgreSQL]
  • A. supportsDatabaseConnectivity
    Indicates that an entity provides the capability to establish and maintain connections to a database system.
  • B. supportsDatabaseAbstraction
    Indicates that one entity provides or enables a database abstraction layer for another, allowing interaction with databases independently of specific database implementations.
  • C. supportsDatabaseAbstractionLayer
    Indicates that one entity provides or is compatible with a database abstraction layer used by another entity for interacting with databases independently of specific database implementations.
  • D. hasDatabase chosen
    Indicates that an entity possesses, uses, or is associated with a specific database.
  • E. supportsDatastoreType
    Indicates that one entity is capable of working with, handling, or being compatible with a specified type of datastore.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb0b8988190ab834a85911c015c completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69de2a9cb3e081909f6b33fdd939bb9e completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:15 a.m.