Triple
T8564707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dosa |
E202774
|
entity |
| Predicate | isMadeBy |
P21333
|
FINISHED |
| Object | soaking rice and lentils |
—
|
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: soaking rice and lentils | Statement: [Dosa, isMadeBy, soaking rice and lentils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMadeBy Context triple: [Dosa, isMadeBy, soaking rice and lentils]
-
A.
madeBy
Indicates that something is created, produced, or brought into existence by a particular agent or source.
-
B.
madeWith
chosen
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
C.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
designedBy
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
E.
engineeredBy
Indicates that an entity has been designed, created, or developed through the technical work or expertise of another entity.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d11274819099cc33a21a993a1f |
completed | March 31, 2026, 3:35 p.m. |
| PD | Predicate disambiguation | batch_69cbd11856048190a1ce4b83a38f6965 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:20 p.m.