Triple

T2561529
Position Surface form Disambiguated ID Type / Status
Subject OLE DB E57250 entity
Predicate relatedTo P37 FINISHED
Object ODBC E35619 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: ODBC | Statement: [OLE DB, relatedTo, ODBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ODBC
Context triple: [OLE DB, relatedTo, ODBC]
  • A. ODBC chosen
    ODBC (Open Database Connectivity) is a standard API that enables applications to access and query data from a wide variety of relational and non-relational database management systems using a common interface.
  • B. OLE DB
    OLE DB is a Microsoft data access API that provides a uniform way for applications to access data from a variety of relational and non-relational data sources.
  • C. ODBC Driver Manager
    ODBC Driver Manager is a software component that coordinates communication between applications using ODBC and the appropriate database-specific ODBC drivers.
  • D. JDBC
    JDBC (Java Database Connectivity) is a Java-based API that enables applications to connect to and interact with relational databases in a standardized way.
  • E. PDO
    PDO refers to the Pacific Decadal Oscillation, a long-term pattern of climate variability in the Pacific Ocean that influences global weather and climate conditions over multi-decade timescales.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd336183c819084ed7de8ccc4c548 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.