Triple
T1144743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bredius 439 |
E23537
|
entity |
| Predicate | catalogueNumber |
P5531
|
FINISHED |
| Object | 439 |
—
|
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: 439 | Statement: [Bredius 439, catalogueNumber, 439]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catalogueNumber Context triple: [Bredius 439, catalogueNumber, 439]
-
A.
catalogueRaisonneNumber
chosen
Indicates the identifier assigned to a work in a catalogue raisonné, linking it to its authoritative scholarly listing.
-
B.
museumInventoryNumber
Indicates the unique catalog or inventory identifier assigned to an item within a museum’s collection.
-
C.
catalog
Indicates the action of systematically listing, organizing, or recording items or information into a structured collection or database.
-
D.
articleNumber
Indicates that one entity is identified or referenced by a specific article number assigned to it.
-
E.
catalogueStatus
Indicates the current state or condition of an item within a catalogue or listing system (e.g., active, inactive, pending).
- 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc51244c8190bcd533f3e80c8f17 |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4d4104819084027a043c6118cb |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.