Triple
T12311703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Ancient Near Eastern Art of the Metropolitan Museum of Art |
E293493
|
entity |
| Predicate | collectionIncludesObjectType |
P58911
|
FINISHED |
| Object | reliefs |
—
|
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: reliefs | Statement: [Department of Ancient Near Eastern Art of the Metropolitan Museum of Art, collectionIncludesObjectType, reliefs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: collectionIncludesObjectType Context triple: [Department of Ancient Near Eastern Art of the Metropolitan Museum of Art, collectionIncludesObjectType, reliefs]
-
A.
collectionTypeAccessed
Indicates that an entity has accessed or interacted with a particular type of collection.
-
B.
collectionKind
Indicates the type or category of collection to which an entity or group of entities belongs.
-
C.
classificationIncludes
Indicates that a broader classification category encompasses or contains a specified subclass, member, or element within its scope.
-
D.
isCollectionOf
Indicates that one entity is a group or aggregate composed of multiple instances or elements of another entity.
-
E.
includesTypeOfObject
chosen
Indicates that one entity contains or encompasses another entity that is a specific type or category of object.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.