Triple
T34012242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadya |
E872145
|
entity |
| Predicate | eatingPractice |
P112132
|
FINISHED |
| Object | eaten with hands |
—
|
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: eaten with hands | Statement: [Sadya, eatingPractice, eaten with hands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eatingPractice Context triple: [Sadya, eatingPractice, eaten with hands]
-
A.
eatingHabit
chosen
Indicates a characteristic pattern or regularity in how an entity consumes food, such as what, when, or how it typically eats.
-
B.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
C.
usesFood
Indicates that one entity employs or consumes a food item as a resource, ingredient, or means to achieve some purpose.
-
D.
dietAdvocated
Indicates that one entity promotes, recommends, or supports a particular diet for another entity or audience.
-
E.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.