Triple
T1468008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | METS |
E27068
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Metadata Encoding and Transmission Standard |
E27068
|
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: Metadata Encoding and Transmission Standard | Statement: [METS, fullName, Metadata Encoding and Transmission Standard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metadata Encoding and Transmission Standard Context triple: [METS, fullName, Metadata Encoding and Transmission Standard]
-
A.
METS
chosen
METS (Metadata Encoding and Transmission Standard) is an XML-based standard for encoding descriptive, administrative, and structural metadata for complex digital library objects.
-
B.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
-
C.
MARC standards
MARC standards are a set of bibliographic data formats used worldwide to structure and exchange library catalog information in a consistent, machine-readable way.
-
D.
MARC
MARC is a commuter rail service in Maryland that connects Washington, D.C. with Baltimore and other regional destinations.
-
E.
Digital Object Identifier system
The Digital Object Identifier system is a standardized framework for assigning persistent, unique alphanumeric identifiers to digital content such as scholarly articles, enabling reliable citation, discovery, and long-term access.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d70a948190b50a6c1b36abc740 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7e7f848190a8abcb73e89e8e34 |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8:01 p.m.