Triple
T2633443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paulistano |
E59687
|
entity |
| Predicate | cultureTrait |
P3114
|
FINISHED |
| Object | fast-paced lifestyle |
—
|
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: fast-paced lifestyle | Statement: [Paulistano, cultureTrait, fast-paced lifestyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultureTrait Context triple: [Paulistano, cultureTrait, fast-paced lifestyle]
-
A.
traditionCharacteristic
Indicates that a particular quality, feature, or attribute is characteristic of, or typically associated with, a given tradition.
-
B.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
C.
hasCulturalFeature
chosen
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
D.
cultureLegacy
Indicates that one entity preserves, inherits, or is significantly shaped by the cultural traditions, values, or practices originating from another entity.
-
E.
cultureDepicted
Indicates that one entity portrays, represents, or is associated with the culture 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdb0e7b888190bfa5d2e33f00ec0f |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd810d7f481908e81c305772c4c14 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:50 p.m.