Triple
T13184860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotchmallow |
E313822
|
entity |
| Predicate | coatedIn |
P81140
|
FINISHED |
| Object | chocolate |
—
|
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: chocolate | Statement: [Scotchmallow, coatedIn, chocolate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coatedIn Context triple: [Scotchmallow, coatedIn, chocolate]
-
A.
coatingType
chosen
Indicates the type or kind of coating applied to or associated with an entity.
-
B.
skeletonCoating
Indicates that one entity serves as a coating, covering, or outer layer on the skeleton of another entity.
-
C.
paintedIn
Indicates that an artwork or object was created or executed using paint within a specific time period or at a particular location.
-
D.
glaze
Indicates that an agent coats or covers a surface of an entity with a smooth, often shiny or protective, layer or substance.
-
E.
isThickenedWith
Indicates that one substance has been made more viscous or dense by adding another substance that serves as a thickening agent.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:15 p.m.