Triple
T7894069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Fx |
E183304
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Dataverse |
E188107
|
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: Dataverse | Statement: [Power Fx, usedIn, Dataverse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dataverse Context triple: [Power Fx, usedIn, Dataverse]
-
A.
Dataverse
chosen
Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
-
B.
Harvard Dataverse
Harvard Dataverse is a research data repository platform that enables scholars to share, publish, and preserve datasets, primarily used by the academic community.
-
C.
Open Data Index
Open Data Index is a global initiative that evaluates and ranks the openness and accessibility of government data across countries.
-
D.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
E.
Dimensions (research database)
Dimensions is a comprehensive research database and analytics platform that aggregates scholarly publications, citations, grants, patents, and clinical trials to support discovery and evaluation across the research lifecycle.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a15a7e88190a05474844817e5d2 |
completed | March 31, 2026, 3:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ba9c2ac8190b8faf1518390dff4 |
completed | March 31, 2026, 5:29 a.m. |
Created at: March 30, 2026, 5:01 p.m.