Triple
T32023136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aino Aalto glassware series |
E817746
|
entity |
| Predicate | dishwasherSafe |
P173126
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Aino Aalto glassware series, dishwasherSafe, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dishwasherSafe Context triple: [Aino Aalto glassware series, dishwasherSafe, yes]
-
A.
dish
Indicates that one entity is a prepared food item or meal served as part of a dining experience.
-
B.
dishType
Indicates the classification of a dish according to its culinary category or role (e.g., appetizer, main course, dessert).
-
C.
dishShape
Indicates that one entity has the physical form or contour characterized by the other entity as its shape.
-
D.
dishDiameter
Indicates the measurement of how wide a dish is across its center.
-
E.
dishTypeProduced
Indicates the type or category of dish that is produced or created as a result of a given process, recipe, or action.
- 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_69f348fb04e4819081f4eab040ed7959 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4684000819090d1f2f28af40db9 |
completed | May 3, 2026, 2:35 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:17 a.m.