Triple
T33162257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roosevelt, New Jersey |
E848777
|
entity |
| Predicate | hasHistoricArtwork |
P1572
|
FINISHED |
| Object | Works Progress Administration murals |
—
|
NE NERFINISHED |
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: Works Progress Administration murals | Statement: [Roosevelt, New Jersey, hasHistoricArtwork, Works Progress Administration murals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricArtwork Context triple: [Roosevelt, New Jersey, hasHistoricArtwork, Works Progress Administration murals]
-
A.
hasArtHistoricalSignificance
Indicates that something holds notable importance or influence within the context of art history.
-
B.
hasFamousArtwork
Indicates that an entity possesses or is associated with a well-known or widely recognized artwork.
-
C.
hasArtColonyHistory
Indicates that an entity has a historical association with an art colony, such as having hosted, contained, or been significantly involved with one.
-
D.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
-
E.
hasPublicArtwork
chosen
Indicates that a location or entity possesses or features artwork that is accessible to the general public.
- 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_69f3495b02d08190bb3d366823dffc21 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: May 1, 2026, 1:28 a.m.