Triple
T31551742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maifest celebrations |
E805020
|
entity |
| Predicate | featuresClothing |
P110046
|
FINISHED |
| Object | dirndl |
—
|
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: dirndl | Statement: [Maifest celebrations, featuresClothing, dirndl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresClothing Context triple: [Maifest celebrations, featuresClothing, dirndl]
-
A.
clothingFeature
chosen
Indicates that one entity has a specific clothing-related attribute, detail, or characteristic associated with it.
-
B.
featuresClothingDesigner
Indicates that something (such as a work, event, or product) prominently includes or showcases a particular clothing designer.
-
C.
dressFeature
Indicates that a dress possesses or is characterized by a particular feature, attribute, or design element.
-
D.
showsClothing
Indicates that one entity visually presents or displays an item of clothing associated with another entity.
-
E.
fashionCharacteristic
Indicates a relationship where one entity possesses or exhibits a particular style, trend, or fashion-related attribute in relation to another.
- 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_69f348d22e088190ad555d5bd42f9da0 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a008098e5dc8190b7ccad8bab780343 |
completed | May 10, 2026, 12:56 p.m. |
| PD | Predicate disambiguation | batch_6a008037267c8190990225a6ff0b3694 |
completed | May 10, 2026, 12:55 p.m. |
Created at: April 30, 2026, 10:11 p.m.