Triple
T15731914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjeplog |
E381365
|
entity |
| Predicate | SilvermuseetFocus |
P18644
|
FINISHED |
| Object | Sámi silver and cultural history |
—
|
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: Sámi silver and cultural history | Statement: [Arjeplog, SilvermuseetFocus, Sámi silver and cultural history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SilvermuseetFocus Context triple: [Arjeplog, SilvermuseetFocus, Sámi silver and cultural history]
-
A.
museumFocus
chosen
Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
-
B.
museOf
Indicates that one entity serves as the source of artistic or intellectual inspiration for another.
-
C.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
D.
hasRoyalMuseum
Indicates that an entity possesses or is associated with a royal museum, typically as its location, owner, or host.
-
E.
purposeOfMuseum
Indicates that a specified purpose or function is attributed to a particular museum.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69e00526759c819088b80d85138b8974 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:46 a.m.