Triple
T32446264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yucatecan people |
E829154
|
entity |
| Predicate | traditionalIngredient |
P12771
|
FINISHED |
| Object | achiote |
—
|
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: achiote | Statement: [Yucatecan people, traditionalIngredient, achiote]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalIngredient Context triple: [Yucatecan people, traditionalIngredient, achiote]
-
A.
traditionalOrigin
Indicates that something comes from, or is rooted in, a long-established cultural or customary source or practice.
-
B.
usesIngredient
chosen
Indicates that one entity employs or incorporates another entity as an ingredient in its composition or creation.
-
C.
traditionalFoodBase
Indicates that one entity serves as the primary ingredient, staple, or foundational component of a traditional food associated with another entity.
-
D.
traditionalFilling
Indicates that something is filled using a customary or historically established type of filling associated with a particular practice, item, or cuisine.
-
E.
traditionalPreparation
Indicates that something is prepared or made using customary, long-established methods or techniques associated with a particular culture or practice.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: May 1, 2026, 12:56 a.m.