Triple
T19892671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chessmen cookies |
E478070
|
entity |
| Predicate | cookieType |
P137731
|
FINISHED |
| Object | shortbread |
—
|
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: shortbread | Statement: [Chessmen cookies, cookieType, shortbread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cookieType Context triple: [Chessmen cookies, cookieType, shortbread]
-
A.
tokenType
Indicates the classification or category assigned to a token within a sequence, such as its syntactic, semantic, or functional role.
-
B.
sessionType
Indicates the classification or category of a particular session based on its purpose, format, or context.
-
C.
bearerType
Indicates the type or category of entity that serves as the bearer or holder in a given relationship or context.
-
D.
cacheType
Indicates the specific kind or category of cache associated with an entity or operation.
-
E.
credentialType
Indicates the specific kind or category of credential associated with an entity or relationship.
- F. None of above. chosen
Provenance (4 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:52 p.m.