Triple
T31434019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MWV A 14 |
E801873
|
entity |
| Predicate | alternativeCatalogueDesignationForWork |
P84753
|
FINISHED |
| Object | MWV A:14 |
—
|
LITERAL 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: MWV A:14 | Statement: [MWV A 14, alternativeCatalogueDesignationForWork, MWV A:14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alternativeCatalogueDesignationForWork Context triple: [MWV A 14, alternativeCatalogueDesignationForWork, MWV A:14]
-
A.
alternateDesignation
Indicates that one entity serves as an alternative name, label, or identifier for another entity.
-
B.
alternativeCatalogNumber
chosen
Indicates that an entity is associated with an additional or substitute catalog number different from its primary catalog identifier.
-
C.
alternativeCataloguing
Indicates that an entity is catalogued or described using an additional or non-primary cataloguing system or scheme.
-
D.
identifiesWorkUniquelyWithinCatalogue
Indicates that a work is distinguished from all other works within a specific catalogue by a unique identifier or combination of attributes.
-
E.
nicknameOfContainedWork
Indicates that a name is a nickname or informal title used for a work that is contained within another larger work.
- F. None of above.
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_69f348c475348190bf579ca858eec77c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 30, 2026, 9 p.m.