Triple
T9051384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Áo dài |
E216889
|
entity |
| Predicate | patternVariety |
P8034
|
FINISHED |
| Object | floral patterns |
—
|
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: floral patterns | Statement: [Áo dài, patternVariety, floral patterns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patternVariety Context triple: [Áo dài, patternVariety, floral patterns]
-
A.
colorVarietyOf
Indicates that one entity represents a specific color variant or color option of another entity.
-
B.
pattern
chosen
Indicates that one entity exhibits, follows, or is characterized by a particular recurring form, structure, or arrangement associated with another entity.
-
C.
varietyOf
Indicates that one entity is a specific type, kind, or variant of another, more general entity.
-
D.
styleDiversity
Indicates variation in the manner, form, or approach with which an entity presents, performs, or expresses something across different instances or contexts.
-
E.
patroonOf
Indicates a relationship in which one entity acts as a patron, sponsor, or protector providing support or resources to 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.