Triple
T26364819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sayur asem Betawi |
E660302
|
entity |
| Predicate | usesSpicePaste |
P12771
|
FINISHED |
| Object | ground shallot, garlic, candlenut, chili, and galangal |
—
|
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: ground shallot, garlic, candlenut, chili, and galangal | Statement: [Sayur asem Betawi, usesSpicePaste, ground shallot, garlic, candlenut, chili, and galangal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSpicePaste Context triple: [Sayur asem Betawi, usesSpicePaste, ground shallot, garlic, candlenut, chili, and galangal]
-
A.
hasSpice
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
B.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
C.
hasSpiciness
Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
-
D.
isSpitFree
Indicates that something is free from spit or saliva contamination.
-
E.
hasFictionalSubstance
Indicates that one entity includes, contains, or involves a fictional or imaginary substance as part of its composition, setting, or narrative.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 26, 2026, 10:54 p.m.