Triple
T7858541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ML.NET |
E182435
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
DataView
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
|
E700879
|
NE FINISHED |
How this triple was built (4 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: DataView | Statement: [ML.NET, hasComponent, DataView]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataView Context triple: [ML.NET, hasComponent, DataView]
-
A.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
-
D.
Keys View
Keys View is a popular high-elevation overlook in Joshua Tree National Park offering expansive vistas of the Coachella Valley, Salton Sea, and surrounding mountain ranges.
-
E.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DataView Triple: [ML.NET, hasComponent, DataView]
Generated description
DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataView Target entity description: DataView is ML.NET’s core, schema-aware tabular data abstraction used to efficiently represent and process datasets for machine learning pipelines.
-
A.
Table View
Table View is a coastal suburb of Cape Town, South Africa, known for its beaches and panoramic views of Table Mountain.
-
B.
Data
Data is an android Starfleet officer in Star Trek: The Next Generation, known for his quest to understand humanity and develop emotions.
-
C.
Power View
Power View is an interactive data visualization and reporting tool from Microsoft that enables users to create dynamic, presentation-ready dashboards and reports.
-
D.
Keys View
Keys View is a popular high-elevation overlook in Joshua Tree National Park offering expansive vistas of the Coachella Valley, Salton Sea, and surrounding mountain ranges.
-
E.
Tabularium
The Tabularium was the official records office of ancient Rome, a monumental state archive building overlooking the Roman Forum.
- F. None of above. chosen
Provenance (5 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 |
completed | March 31, 2026, 12:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b38d7e08190a3459d1e0c6f4c6d |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762fda2c81908ed508e12cabb938 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf706e888190bfd08d9d78945c49 |
completed | March 31, 2026, 12:34 p.m. |
Created at: March 30, 2026, 4:52 p.m.