Triple
T1094330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission San Gabriel Arcángel |
E24236
|
entity |
| Predicate | hasMuseumCollection |
P17367
|
FINISHED |
| Object | mission-era artifacts and religious art |
—
|
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: mission-era artifacts and religious art | Statement: [Mission San Gabriel Arcángel, hasMuseumCollection, mission-era artifacts and religious art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumCollection Context triple: [Mission San Gabriel Arcángel, hasMuseumCollection, mission-era artifacts and religious art]
-
A.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
B.
hasArtCollection
chosen
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
C.
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.
-
D.
hasArtGallery
Indicates that one entity possesses, contains, or hosts an art gallery as part of its facilities or offerings.
-
E.
hasMemorialMuseum
Indicates that a memorial museum is dedicated to, associated with, or established in honor of a particular entity.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99d1e8c81909cf1178d68d38885 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.