Triple
T14048598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bicol Express |
E338024
|
entity |
| Predicate | usesChiliType |
P44787
|
FINISHED |
| Object | bird's eye chili |
—
|
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: bird's eye chili | Statement: [Bicol Express, usesChiliType, bird's eye chili]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesChiliType Context triple: [Bicol Express, usesChiliType, bird's eye chili]
-
A.
hasSpiciness
Indicates that one entity possesses a certain level or quality of spiciness in relation to another entity or a defined scale.
-
B.
hasSpice
chosen
Indicates that one entity contains, includes, or is characterized by a particular spice or set of spices.
-
C.
isSavory
Indicates that something has a salty, spicy, or umami-dominant taste rather than a sweet one.
-
D.
hasDishType
Indicates that an item (such as a food or menu entry) is classified as belonging to a particular type of dish (e.g., appetizer, main course, dessert).
-
E.
usesNutType
Indicates that one entity employs or incorporates a specific type of nut in its structure, function, or composition.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.