Triple
T24910949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naka-Meguro area |
E623841
|
entity |
| Predicate | hasCulturalVibe |
P3114
|
FINISHED |
| Object | trendy |
—
|
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: trendy | Statement: [Naka-Meguro area, hasCulturalVibe, trendy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalVibe Context triple: [Naka-Meguro area, hasCulturalVibe, trendy]
-
A.
hasCulturalFeature
chosen
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
B.
hasCulturalAttractions
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
-
C.
hasCulturalScope
Indicates that a relationship or action is limited to, relevant within, or characterized by a particular cultural context or domain.
-
D.
hasCulturalExpression
Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
-
E.
hasCulturalIcon
Indicates that an entity is associated with or possesses a person, symbol, or object widely recognized as a significant representation of a particular culture.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 5:28 a.m.