Triple
T723426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Reserve Bank of Peru |
E14667
|
entity |
| Predicate | museumFocus |
P18644
|
FINISHED |
| Object | numismatics |
—
|
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: numismatics | Statement: [Central Reserve Bank of Peru, museumFocus, numismatics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumFocus Context triple: [Central Reserve Bank of Peru, museumFocus, numismatics]
-
A.
majorMuseum
Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
-
B.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
C.
museumSection
Indicates that one entity is a section, area, or subdivision within a museum associated with the other entity.
-
D.
museumCity
Indicates the city in which a given museum is located.
-
E.
nationalMuseum
Indicates that an entity functions as a primary, officially recognized museum representing a nation at the national level.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5a5360c8190b16e1e4f4206d0aa |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f700cc81908c6de3eedf68433c |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a55a26e081908134ee93faaf7c40 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.