Triple
T834039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobel Museum |
E18030
|
entity |
| Predicate | foundedOnAnniversaryOf |
P15028
|
FINISHED |
| Object | 100th anniversary of the Nobel Prize |
—
|
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: 100th anniversary of the Nobel Prize | Statement: [Nobel Museum, foundedOnAnniversaryOf, 100th anniversary of the Nobel Prize]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedOnAnniversaryOf Context triple: [Nobel Museum, foundedOnAnniversaryOf, 100th anniversary of the Nobel Prize]
-
A.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
B.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
C.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
D.
foundedOnOccasionOf
chosen
Indicates that something was established or created specifically in response to, or to mark, a particular event or occasion.
-
E.
foundedAs
Indicates the original name or form under which an organization, institution, or entity was first established.
- 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_69a49389f44881909a608fb27d89f247 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb84fe081909b8f4b4202845860 |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7b3d2481909199f7c9f305bdfe |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.