Triple
T6175511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Dataverse |
E137807
|
entity |
| Predicate | supportsStandard |
P1587
|
FINISHED |
| Object |
DataCite metadata schema
The DataCite metadata schema is a widely used standard for describing research datasets and other scholarly outputs to support citation, discovery, and persistent identification.
|
E572613
|
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: DataCite metadata schema | Statement: [Harvard Dataverse, supportsStandard, DataCite metadata schema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DataCite metadata schema Context triple: [Harvard Dataverse, supportsStandard, DataCite metadata schema]
-
A.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
B.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
C.
Dataverse
Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
-
D.
OAI-PMH
OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
-
E.
ePIC Persistent Identifier Consortium
The ePIC Persistent Identifier Consortium is an international collaboration that provides and promotes persistent identifier services to support long-term access to digital research data and resources.
- 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: DataCite metadata schema Triple: [Harvard Dataverse, supportsStandard, DataCite metadata schema]
Generated description
The DataCite metadata schema is a widely used standard for describing research datasets and other scholarly outputs to support citation, discovery, and persistent identification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DataCite metadata schema Target entity description: The DataCite metadata schema is a widely used standard for describing research datasets and other scholarly outputs to support citation, discovery, and persistent identification.
-
A.
Dublin Core
Dublin Core is a widely used standard for describing digital resources through a simple, generic set of metadata elements to support discovery and interoperability across systems.
-
B.
S-100 metadata framework
The S-100 metadata framework is an IHO-developed standard that defines a flexible, interoperable structure for describing and managing geospatial and hydrographic data within the broader S-100 universal hydrographic data model.
-
C.
Dataverse
Dataverse is Microsoft's cloud-based data platform that securely stores, manages, and structures business data for use across Power Platform applications and services.
-
D.
OAI-PMH
OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is a low-barrier protocol used to collect and share metadata from repositories to enable interoperable discovery of scholarly and other digital resources.
-
E.
ePIC Persistent Identifier Consortium
The ePIC Persistent Identifier Consortium is an international collaboration that provides and promotes persistent identifier services to support long-term access to digital research data and resources.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc70ac481909fd1db0d69837eca |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c141b69c348190a4e530b7380b643f |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c144384d508190952ff35c20ff7db1 |
completed | March 23, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c144a2d800819090c351460c0826d1 |
completed | March 23, 2026, 1:48 p.m. |
Created at: March 22, 2026, 4:18 p.m.