Triple
T20878829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nut Room |
E514090
|
entity |
| Predicate | animalWorkersAre |
P110374
|
FINISHED |
| Object | trained 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: trained squirrels | Statement: [Nut Room, animalWorkersAre, trained squirrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animalWorkersAre Context triple: [Nut Room, animalWorkersAre, trained squirrels]
-
A.
involvedAnimal
Indicates that an animal participates in, is affected by, or is otherwise directly connected to the event or situation described.
-
B.
usesCaninesFor
Indicates a relationship where an entity employs or relies on its canine teeth for a particular function or activity.
-
C.
usesAnimalCarcass
Indicates that an entity makes use of an animal’s dead body or its remains for some purpose.
-
D.
hasAnimalActor
chosen
Indicates that an animal serves as the acting agent or performer in the specified event or relationship.
-
E.
usedAnimal
Indicates that one entity employed or exploited an animal for a particular purpose or activity.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.