Triple
T13856873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mennecy |
E333088
|
entity |
| Predicate | porcelainStyle |
P90535
|
FINISHED |
| Object | French soft-paste porcelain |
—
|
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: French soft-paste porcelain | Statement: [Mennecy, porcelainStyle, French soft-paste porcelain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: porcelainStyle Context triple: [Mennecy, porcelainStyle, French soft-paste porcelain]
-
A.
eraOfPorcelain
Indicates the historical period or era during which a particular style or type of porcelain was produced or prominent.
-
B.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
C.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
D.
ceramicsDistrict
Indicates that an entity is located in, associated with, or designated as a district known for ceramics production, trade, or related activities.
-
E.
hasCeramicsType
chosen
Indicates that an entity is associated with or classified by a specific type or category of ceramics.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| PD | Predicate disambiguation | batch_69dbc8691b608190a25a7c70a366b170 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:14 p.m.