Triple
T17670770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palembang cuisine |
E440513
|
entity |
| Predicate | mainProteinSource |
P86375
|
FINISHED |
| Object | fish |
—
|
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: fish | Statement: [Palembang cuisine, mainProteinSource, fish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainProteinSource Context triple: [Palembang cuisine, mainProteinSource, fish]
-
A.
mainProtein
Indicates that one protein is the primary or central protein in relation to another entity, such as a complex, pathway, or interaction context.
-
B.
primaryFoodType
chosen
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
C.
hasProtein
Indicates that one entity contains, includes, or is associated with a specific protein.
-
D.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
E.
meatType
Indicates the specific category or kind of meat associated with an entity.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f68a038819084828ff73bcf1fcc |
completed | April 19, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69e3cde007d8819090dd92eea9f022cc |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 9:59 a.m.