Triple
T34853082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fête des Filets Bleus |
E1004651
|
entity |
| Predicate | typeDeDéfilé |
P182305
|
FINISHED |
| Object | défilé de cercles celtiques |
—
|
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: défilé de cercles celtiques | Statement: [fête des Filets Bleus, typeDeDéfilé, défilé de cercles celtiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeDeDéfilé Context triple: [fête des Filets Bleus, typeDeDéfilé, défilé de cercles celtiques]
-
A.
fashionCategory
Indicates the classification of an item into a specific fashion-related category or type (e.g., clothing, footwear, accessories).
-
B.
fashionLabelType
Indicates the specific category or type of fashion label associated with an item or brand.
-
C.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
D.
styleCategory
Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
-
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. 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7886b27f08190ab4580f949222c93 |
completed | May 3, 2026, 5:39 p.m. |
Created at: May 3, 2026, 4 p.m.