Triple
T34084744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPAM (canned meat) |
E874149
|
entity |
| Predicate | isPrecooked |
P118373
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [SPAM (canned meat), isPrecooked, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrecooked Context triple: [SPAM (canned meat), isPrecooked, true]
-
A.
typeOfPreparation
Indicates the method or process by which something is prepared or made ready for use, consumption, or further action.
-
B.
isProcessedFood
chosen
Indicates that a food item has been altered from its natural state through industrial or mechanical methods such as refining, adding ingredients, or preserving.
-
C.
isNotCookedOn
Indicates that one entity is not prepared or heated using another entity as the cooking surface, method, or medium.
-
D.
isCookedBy
Indicates that something has been prepared or made ready for eating through cooking by a particular agent.
-
E.
isBaked
Indicates that an entity has undergone a baking process, typically by being cooked with dry heat in an oven or similar environment.
- 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c0b1b748190aee644f7e4000c8e |
completed | May 3, 2026, 8:49 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.