Triple
T8551372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mountain beaver |
E202450
|
entity |
| Predicate | gnawingBehavior |
P83570
|
FINISHED |
| Object | girdles tree seedlings |
—
|
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: girdles tree seedlings | Statement: [mountain beaver, gnawingBehavior, girdles tree seedlings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gnawingBehavior Context triple: [mountain beaver, gnawingBehavior, girdles tree seedlings]
-
A.
isCarnivorous
Indicates that an entity feeds primarily or exclusively on other animals.
-
B.
carnivorousType
Indicates that one entity is a type or category of organism that feeds primarily on other animals (is carnivorous).
-
C.
feedingHabitat
Indicates the type of environment or location where an organism typically obtains and consumes its food.
-
D.
carnivoryType
Indicates the specific manner or strategy by which an organism engages in carnivory (i.e., how it feeds on animal prey).
-
E.
hasClaws
Indicates that one entity possesses claws as a physical feature or attribute.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30e37ac8190b685df36274602b5 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:19 p.m.