Triple
T32471030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SoHo galleries |
E829848
|
entity |
| Predicate | laterTrend |
P39078
|
FINISHED |
| Object | partial shift of galleries to Chelsea |
—
|
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: partial shift of galleries to Chelsea | Statement: [SoHo galleries, laterTrend, partial shift of galleries to Chelsea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterTrend Context triple: [SoHo galleries, laterTrend, partial shift of galleries to Chelsea]
-
A.
trends
chosen
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
-
B.
continuedTrend
Indicates that a previously observed pattern or direction in some variable or behavior persists over a subsequent time period without significant change.
-
C.
hasTrend
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
D.
trendy
Indicates that something is currently fashionable, popular, or in line with prevailing styles or tastes.
-
E.
reversedTrendOf
Indicates that one trend is the inverse or opposite-direction counterpart of another trend, such that when one increases or moves in a certain direction, the other correspondingly decreases or moves in the opposite direction.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 1, 2026, 12:57 a.m.