Triple
T24512117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pomo cultural area |
E606252
|
entity |
| Predicate | keyFoodResource |
P105996
|
FINISHED |
| Object | acorns |
—
|
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: acorns | Statement: [Pomo cultural area, keyFoodResource, acorns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyFoodResource Context triple: [Pomo cultural area, keyFoodResource, acorns]
-
A.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
B.
primaryFood
Indicates that one entity serves as the main or most important food source for another entity.
-
C.
isMajorFoodSourceFor
chosen
Indicates that something serves as a primary or significant source of food for another entity.
-
D.
primaryFoodType
Indicates the main category of food that characterizes what an entity primarily eats or serves.
-
E.
primaryFoodAcquisition
Indicates the main method or strategy by which an entity obtains its food or nutritional resources.
- 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_69e2c4c725148190a4e41577c5cb409c |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.