Triple
T27151166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St James's Library |
E682392
|
entity |
| Predicate | containsEntityType |
P131260
|
FINISHED |
| Object | classical authors' works |
—
|
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: classical authors' works | Statement: [St James's Library, containsEntityType, classical authors' works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsEntityType Context triple: [St James's Library, containsEntityType, classical authors' works]
-
A.
supportsEntityType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of entity.
-
B.
includedEntityType
Indicates that one entity type is contained within, or forms a component part of, another entity type.
-
C.
isEntityOf
Indicates that one entity serves as the defining instance, member, or realization of another, more general entity or concept.
-
D.
hasEntity
chosen
Indicates that one entity includes, contains, or is associated with another entity as part of its composition or context.
-
E.
identifiesEntityType
Indicates that one entity specifies or determines the type or category to which another entity belongs.
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 27, 2026, 9:14 a.m.