Triple
T34787595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Museum of Požarevac |
E1002852
|
entity |
| Predicate | typeOfMuseumByScope |
P7675
|
FINISHED |
| Object | regional museum |
—
|
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: regional museum | Statement: [National Museum of Požarevac, typeOfMuseumByScope, regional museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMuseumByScope Context triple: [National Museum of Požarevac, typeOfMuseumByScope, regional museum]
-
A.
typeOfMuseumSystem
Indicates the specific category or organizational model that characterizes a given museum system.
-
B.
museumInventoryType
Indicates the type or category under which an item is classified within a museum’s inventory system.
-
C.
hasMuseumType
chosen
Indicates that an entity is classified as a museum of a specific type or category.
-
D.
museumFocus
Indicates that a museum is primarily dedicated to or specializes in a particular subject, theme, or type of collection.
-
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_69f76db47d408190a24fc7164439ea2d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a016ebba0448190b5319243e1b2feca |
completed | May 11, 2026, 5:52 a.m. |
| PD | Predicate disambiguation | batch_6a016d2486b4819085efe197ee21b707 |
completed | May 11, 2026, 5:46 a.m. |
Created at: May 3, 2026, 3:59 p.m.