Triple
T705246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copley Medal |
E14083
|
entity |
| Predicate | awardingBodyFoundedIn |
P18715
|
FINISHED |
| Object | 1660 |
—
|
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: 1660 | Statement: [Copley Medal, awardingBodyFoundedIn, 1660]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingBodyFoundedIn Context triple: [Copley Medal, awardingBodyFoundedIn, 1660]
-
A.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
B.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
C.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
D.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
E.
awardingBodyAbbreviation
Indicates the abbreviated name used by the organization or institution that grants or confers an award, qualification, or certification.
- F. None of above. chosen
Provenance (4 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:36 p.m.