Triple
T31619016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CuriOdyssey at Coyote Point |
E806841
|
entity |
| Predicate | animalCareFocus |
P70949
|
FINISHED |
| Object | wildlife rehabilitation |
—
|
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: wildlife rehabilitation | Statement: [CuriOdyssey at Coyote Point, animalCareFocus, wildlife rehabilitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalCareFocus Context triple: [CuriOdyssey at Coyote Point, animalCareFocus, wildlife rehabilitation]
-
A.
animalWelfarePractice
chosen
Indicates practices, actions, or policies that affect the well-being, treatment, and living conditions of animals.
-
B.
companionAnimals
Indicates a relationship where one entity keeps or cares for another entity as a pet or companion animal.
-
C.
involvedAnimal
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
D.
animalWelfareActivist
Indicates that an entity actively advocates for the protection, rights, and well-being of animals.
-
E.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8acae308190b3450346a6bb55bc |
completed | May 3, 2026, 1:45 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:40 p.m.