Triple
T16903674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | king crab safaris |
E424501
|
entity |
| Predicate | foodComponent |
P50231
|
FINISHED |
| Object | freshly cooked king crab |
—
|
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: freshly cooked king crab | Statement: [king crab safaris, foodComponent, freshly cooked king crab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodComponent Context triple: [king crab safaris, foodComponent, freshly cooked king crab]
-
A.
foodItem
chosen
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
B.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
C.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
-
D.
ingredientType
Indicates that one entity is classified as a specific type or category of ingredient in relation to another.
-
E.
foundInFood
Indicates that a substance, ingredient, or component is present within or contained in a particular food item.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.