Triple
T2620334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleet Library at RISD |
E58992
|
entity |
| Predicate | buildingReuseType |
P42263
|
FINISHED |
| Object | adaptive reuse |
—
|
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: adaptive reuse | Statement: [Fleet Library at RISD, buildingReuseType, adaptive reuse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingReuseType Context triple: [Fleet Library at RISD, buildingReuseType, adaptive reuse]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
buildingCondition
Indicates the physical state or quality of a building, such as how well it is preserved, maintained, or structurally sound.
-
C.
constructionType
Indicates the specific method or style by which something is built or constructed.
-
D.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
E.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdaca581881908fe8d3d820f839b7 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd80f48888190afdf7e3e042157d0 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abdac82b688190886a6ec2d6e2abc7 |
completed | March 7, 2026, 7:59 a.m. |
Created at: March 6, 2026, 9:50 p.m.