Triple
T7297246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern red oak |
E164553
|
entity |
| Predicate | providesFoodFor |
P17103
|
FINISHED |
| Object | squirrels |
—
|
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: squirrels | Statement: [Northern red oak, providesFoodFor, squirrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesFoodFor Context triple: [Northern red oak, providesFoodFor, squirrels]
-
A.
feedingStructure
Indicates a relationship where one entity serves as the anatomical or mechanical structure used by another entity to obtain or ingest food.
-
B.
feederFoodPreference
Indicates the type of food that is preferred or typically used in a particular feeder.
-
C.
feedingAreas
Indicates areas or locations where one entity provides food or nourishment to another.
-
D.
primaryFood
chosen
Indicates that one entity serves as the main or most important food source for another entity.
-
E.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8e48d48190ada4d507f3b61bc4 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.