Triple
T10251565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wilderness deer park |
E240353
|
entity |
| Predicate | wildlifeType |
P950
|
FINISHED |
| Object | mammals |
—
|
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: mammals | Statement: [The Wilderness deer park, wildlifeType, mammals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wildlifeType Context triple: [The Wilderness deer park, wildlifeType, mammals]
-
A.
featuresAnimalsFrom
Indicates that one entity includes, presents, or showcases animals originating from or associated with another entity.
-
B.
fauna
chosen
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
E.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d328272c8190a3548d7f7f38cfc4 |
completed | April 7, 2026, 9:49 a.m. |
| PD | Predicate disambiguation | batch_69d4d1ebd6c88190a1f3f4a72a99d6fe |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:29 a.m.