Triple
T6175512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Dataverse |
E137807
|
entity |
| Predicate | supportsStandard |
P1587
|
FINISHED |
| Object | Dublin Core metadata |
E166787
|
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: Dublin Core metadata | Statement: [Harvard Dataverse, supportsStandard, Dublin Core metadata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dublin Core metadata Context triple: [Harvard Dataverse, supportsStandard, Dublin Core metadata]
-
A.
Dublin Core
chosen
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.
METS
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
D.
BIBFRAME
BIBFRAME (Bibliographic Framework) is a linked data model and standard developed by the Library of Congress to replace MARC for describing and sharing bibliographic information on the web.
-
E.
Library of Congress Linked Data Service
The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
- 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_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. |
Created at: March 22, 2026, 4:18 p.m.