Triple
T16023936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark's nutcracker |
E388670
|
entity |
| Predicate | storesFood |
P121407
|
FINISHED |
| Object | pine seeds in soil caches |
—
|
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: pine seeds in soil caches | Statement: [Clark's nutcracker, storesFood, pine seeds in soil caches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesFood Context triple: [Clark's nutcracker, storesFood, pine seeds in soil caches]
-
A.
foodCustom
Indicates a culturally specific practice, rule, or tradition related to the preparation, serving, or consumption of food.
-
B.
foodItem
Indicates that one entity is a food item that can be eaten or used as food in relation to another entity.
-
C.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
D.
foodSources
Indicates a relationship where one entity serves as a source of food or nourishment for another entity.
-
E.
intendedFood
Indicates that one entity is the food item that another entity plans or is meant to eat or consume.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:55 a.m.