Triple
T18696226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Λωτοφάγοι |
E457121
|
entity |
| Predicate | foodTypeConsumed |
P112132
|
FINISHED |
| Object | καρπός λωτού |
—
|
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: καρπός λωτού | Statement: [Λωτοφάγοι, foodTypeConsumed, καρπός λωτού]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foodTypeConsumed Context triple: [Λωτοφάγοι, foodTypeConsumed, καρπός λωτού]
-
A.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
-
B.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
C.
commonMealType
Indicates that two entities share the same general category or type of meal (e.g., breakfast, lunch, dinner).
-
D.
eatingHabit
chosen
Indicates a characteristic pattern or regularity in how an entity consumes food, such as what, when, or how it typically eats.
-
E.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e775408190996b4c613b83f185 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.