Triple
T26664947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munrae-dong |
E672156
|
entity |
| Predicate | hasRecentTrend |
P5318
|
FINISHED |
| Object | increasing number of artists relocating to the area |
—
|
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: increasing number of artists relocating to the area | Statement: [Munrae-dong, hasRecentTrend, increasing number of artists relocating to the area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRecentTrend Context triple: [Munrae-dong, hasRecentTrend, increasing number of artists relocating to the area]
-
A.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
hasOnlineTrendType
Indicates that an entity is associated with a specific category or type of online trend.
-
C.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
D.
hasRadialTrendToward
Indicates a relationship in which something exhibits a pattern, orientation, or change that progresses inward toward a central point or axis.
-
E.
trends
Indicates that one entity exhibits a general direction of change or development over time in relation to another reference or context.
- 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_69eecda00a9c8190b2691f4d89db03b6 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: April 27, 2026, 3:08 a.m.