Triple
T9898613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OData |
E182234
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | OData V2 |
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 V2 | Statement: [OData, hasVersion, OData V2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OData V2 Context triple: [OData, hasVersion, OData V2]
-
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.
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.
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.
-
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.
DataSet API
DataSet API is Apache Flink’s now-legacy batch processing API for defining and executing scalable, distributed data transformations.
- 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.