Triple

T9898614
Position Surface form Disambiguated ID Type / Status
Subject OData E182234 entity
Predicate hasVersion P455 FINISHED
Object OData V3 E182234 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: OData V3 | Statement: [OData, hasVersion, OData V3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OData V3
Context triple: [OData, hasVersion, OData V3]
  • A. OData chosen
    OData (Open Data Protocol) is a standardized, REST-based protocol for querying and updating data over the web, commonly used to expose and consume interoperable APIs.
  • B. Object Data Manager (ODM)
    Object Data Manager (ODM) is IBM AIX’s low-level database-like system for storing and managing configuration and system object information.
  • C. 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.
  • D. Power BI REST API
    Power BI REST API is a set of web services that enables programmatic management, automation, and integration of Power BI resources such as datasets, reports, and dashboards into custom applications and workflows.
  • E. OAI
    OAI is the Office of Anticorruption and Integrity, a body typically responsible for promoting transparency, preventing corruption, and ensuring ethical conduct within an organization or institution.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4ac27d88190b8255f7e616f95c9 completed April 2, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb17ed548190a2510a667dd988ca completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.