Triple
T4487686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | i.d.e.a. Museum |
E107285
|
entity |
| Predicate | ArtVilleFocus |
P43194
|
FINISHED |
| Object | early childhood learning environment |
—
|
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: early childhood learning environment | Statement: [i.d.e.a. Museum, ArtVilleFocus, early childhood learning environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArtVilleFocus Context triple: [i.d.e.a. Museum, ArtVilleFocus, early childhood learning environment]
-
A.
artMovement
Indicates the artistic movement or style with which an artwork, artist, or cultural work is associated.
-
B.
exhibitionGalleries
Indicates that an exhibition is displayed or hosted in one or more specific galleries.
-
C.
artMarketNotability
Indicates that an entity has recognized significance or prominence within the art market, such as through sales, auctions, or professional recognition.
-
D.
artPresence
chosen
Indicates that some form of art is present, exists, or is featured in relation to a given context or entity.
-
E.
inArtSince
Indicates that an entity has been involved or active in the field of art starting from a specified time.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd556d29f08190bab1e872dd7e819f |
completed | March 20, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69bd5213e3d0819094b026989e686f01 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 12:59 p.m.