Triple
T10357707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9th Street (Oakland) |
E244043
|
entity |
| Predicate | reflectsCulture |
P83906
|
FINISHED |
| Object | Chinese culture |
—
|
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: Chinese culture | Statement: [9th Street (Oakland), reflectsCulture, Chinese culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsCulture Context triple: [9th Street (Oakland), reflectsCulture, Chinese culture]
-
A.
culturalLayer
Indicates the relationship in which something belongs to, originates from, or is associated with a particular cultural stratum, tradition, or level within a culture.
-
B.
culturalEmphasis
Indicates that a culture, group, or context places particular importance or priority on a specific value, practice, or domain.
-
C.
hasCulturalScope
Indicates that a relationship or action is limited to, relevant within, or characterized by a particular cultural context or domain.
-
D.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
-
E.
culturalElements
chosen
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9563ea48190b8702b3ef497ed9a |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 11:58 a.m.