Triple
T248680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Society Open Science |
E5093
|
entity |
| Predicate | publishingOrganizationType |
P641
|
FINISHED |
| Object | learned society |
—
|
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: learned society | Statement: [Royal Society Open Science, publishingOrganizationType, learned society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publishingOrganizationType Context triple: [Royal Society Open Science, publishingOrganizationType, learned society]
-
A.
publishingOrganization
Indicates the organization responsible for issuing or making the referenced work publicly available.
-
B.
publisherType
chosen
Indicates the classification or category of a publisher in relation to a published work or entity.
-
C.
publicationType
Indicates the specific category or format of a published work that characterizes how it is issued or presented.
-
D.
publisherAbbreviation
Indicates that one entity is an abbreviated or shortened form of the name of a publisher entity.
-
E.
publishingModel
Indicates the method or framework by which content is produced, distributed, and made publicly available.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.