Triple
T3203274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cotton Nero A.x manuscript collection |
E67099
|
entity |
| Predicate | repositorySection |
P3120
|
FINISHED |
| Object | Cotton Nero pressmark series |
—
|
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: Cotton Nero pressmark series | Statement: [Cotton Nero A.x manuscript collection, repositorySection, Cotton Nero pressmark series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: repositorySection Context triple: [Cotton Nero A.x manuscript collection, repositorySection, Cotton Nero pressmark series]
-
A.
section
chosen
Indicates that one entity is a distinct part, division, or segment of another entity within a larger whole.
-
B.
section7Provides
Indicates that Section 7 serves as the source or provider of something (such as rights, obligations, benefits, or content) to another party or element.
-
C.
reopenedSection
Indicates that a previously closed or inactive section has been opened again and returned to active or accessible status.
-
D.
coveredSectionsLocation
Indicates the specific location or area where the covered sections are situated or applied.
-
E.
sharesSectionsWith
Indicates that two entities have one or more sections or segments in common.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9b188a88190b7b5e9b3be9410db |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e078f7c8190813d9fcb4f5071fb |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.