Triple
T29915968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cantonese stir-fried shrimp with eggs |
E759795
|
entity |
| Predicate | eggDoneness |
P168251
|
FINISHED |
| Object | soft-scrambled |
—
|
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: soft-scrambled | Statement: [Cantonese stir-fried shrimp with eggs, eggDoneness, soft-scrambled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggDoneness Context triple: [Cantonese stir-fried shrimp with eggs, eggDoneness, soft-scrambled]
-
A.
eggPreparation
Indicates the method or process by which an egg is prepared or cooked.
-
B.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
C.
eggs
Indicates that one entity lays, produces, or is associated with eggs in relation to another entity.
-
D.
eggNumber
Indicates the specific count or identifier assigned to an individual egg within a set or sequence.
-
E.
typicalNoodleDonenessOptions
Indicates the usual or standard levels of doneness that noodles are commonly cooked to.
- 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_69f2246189fc8190996b63ee1f9a2374 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6778f9c248190b61955450e10fd02 |
completed | May 2, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:12 p.m.