Triple
T5232599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sate Padang |
E118145
|
entity |
| Predicate | hasGravy |
P62532
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sate Padang, hasGravy, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGravy Context triple: [Sate Padang, hasGravy, yes]
-
A.
isTypicallyGarnishedWith
Indicates that one item is commonly used as a garnish or decorative finishing element for another.
-
B.
hasMainIngredient
Indicates that one entity is the primary or most significant ingredient used to make another entity.
-
C.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
D.
hasStapleFood
Indicates that an entity’s primary or regularly consumed basic food item is another specified entity.
-
E.
haveCuisine
Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0389048190b55b7c44fe657044 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.