Triple
T11904968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhokla |
E283249
|
entity |
| Predicate | canBeMadeFrom |
P21333
|
FINISHED |
| Object | rice and lentil batter |
—
|
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: rice and lentil batter | Statement: [Dhokla, canBeMadeFrom, rice and lentil batter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeMadeFrom Context triple: [Dhokla, canBeMadeFrom, rice and lentil batter]
-
A.
madeWith
chosen
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
B.
canBeObtainedFrom
Indicates that one entity is derivable, producible, or acquirable from another entity as a source or origin.
-
C.
madeBy
Indicates that something is created, produced, or brought into existence by a particular agent or source.
-
D.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
E.
canBeConstructedWith
Indicates that one entity can be formed, built, or assembled using another entity as material, components, or means.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e525460c81909d855048d9c799bf |
completed | April 10, 2026, 11:55 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.