Triple
T22327851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baskerville’s classical editions |
E551946
|
entity |
| Predicate | usesPaper |
P138932
|
FINISHED |
| Object | wove paper |
—
|
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: wove paper | Statement: [Baskerville’s classical editions, usesPaper, wove paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPaper Context triple: [Baskerville’s classical editions, usesPaper, wove paper]
-
A.
usesPaperType
chosen
Indicates that one entity employs or operates with a specific type or category of paper.
-
B.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
-
C.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
-
D.
paperSelection
Indicates that an entity chooses or designates a specific paper from a set of available options.
-
E.
paperFormAvailability
Indicates whether something is available or provided in a physical paper format.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15769fdb48190b84e0c019ab63579 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:42 p.m.