Triple
T13193061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bronx Museum of the Arts |
E314040
|
entity |
| Predicate | architecturalExpansion |
P50445
|
FINISHED |
| Object | 1990s expansion |
—
|
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: 1990s expansion | Statement: [The Bronx Museum of the Arts, architecturalExpansion, 1990s expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: architecturalExpansion Context triple: [The Bronx Museum of the Arts, architecturalExpansion, 1990s expansion]
-
A.
expansionProject
chosen
Indicates a project whose primary purpose is to enlarge, extend, or increase the capacity, scope, or reach of something.
-
B.
architecturalFocus
Indicates that something is the primary subject, theme, or area of emphasis within the domain of architecture.
-
C.
architecturalConcept
Indicates that one entity represents or embodies an architectural concept in relation to another entity.
-
D.
architecturalDiversity
Indicates the degree to which a set of entities exhibits a variety of architectural styles, forms, or structural designs.
-
E.
architecturalPlanner
Indicates a relationship where an entity is responsible for designing, organizing, or planning the architectural structure or layout of another 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc6bc108190b5a6a265bf6e9fd4 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:16 p.m.