Triple
T5331669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camembert cheese |
E123323
|
entity |
| Predicate | typicalColorInterior |
P38941
|
FINISHED |
| Object | pale ivory |
—
|
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: pale ivory | Statement: [Camembert cheese, typicalColorInterior, pale ivory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalColorInterior Context triple: [Camembert cheese, typicalColorInterior, pale ivory]
-
A.
typicalColorDescription
chosen
Indicates the usual or characteristic color associated with an entity.
-
B.
traditionalHomeColor
Indicates the customary or historically typical color associated with a home in a given cultural or regional tradition.
-
C.
interiorStyle
Indicates that one entity has a particular interior design style or aesthetic characterized by the other entity.
-
D.
buildingChamberColor
Indicates the color relationship between a building and one of its chambers or interior spaces.
-
E.
buildingColor
Indicates the color or predominant exterior hue associated with a building.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2 p.m.