Triple
T2676169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dumbarton Oaks |
E56463
|
entity |
| Predicate | hasPreColumbianCollectionItems |
P42143
|
FINISHED |
| Object | sculpture |
—
|
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: sculpture | Statement: [Dumbarton Oaks, hasPreColumbianCollectionItems, sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPreColumbianCollectionItems Context triple: [Dumbarton Oaks, hasPreColumbianCollectionItems, sculpture]
-
A.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
B.
hasExhibits
Indicates that an entity (such as a museum, gallery, or event) displays or presents certain items, artworks, or objects as part of its collection or show.
-
C.
hasSpecialCollections
Indicates that an entity possesses or maintains distinct, curated collections that are set apart from its general holdings.
-
D.
hasArchaeologicalCulture
Indicates that an entity is associated with, belongs to, or is characterized by a particular archaeological culture.
-
E.
hasArchaeologicalMuseum
Indicates that an entity possesses or hosts an archaeological museum as part of its features or facilities.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ab9d08190b72b6104c6dbc769 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda2dc5788190b4b83cb9ed08266c |
completed | March 7, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:54 p.m.