Triple
T12440569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerald Buddha |
E297258
|
entity |
| Predicate | wardrobeChange |
P104941
|
FINISHED |
| Object | three times per year |
—
|
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: three times per year | Statement: [Emerald Buddha, wardrobeChange, three times per year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardrobeChange Context triple: [Emerald Buddha, wardrobeChange, three times per year]
-
A.
wardrobeFeature
Indicates that a wardrobe possesses or includes a specific feature, attribute, or functional element.
-
B.
wardrobeColorTheme
Indicates that there is a relationship specifying the dominant or intended color scheme used for a wardrobe.
-
C.
dressRecommendation
Indicates a suggested or advised choice of dress for a particular person and/or occasion.
-
D.
styleCombination
Indicates a relationship where multiple styles are combined or coordinated to form a unified stylistic configuration or presentation.
-
E.
usesDressing
Indicates that one entity applies or employs a particular dressing (such as a sauce, covering, or treatment) in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94df652cc8190a1d2d685fa87cf98 |
completed | April 10, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:55 p.m.