Triple
T37481938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old English Sheepdog |
E931433
|
entity |
| Predicate | exerciseNeed |
P71510
|
FINISHED |
| Object | moderate to high |
—
|
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: moderate to high | Statement: [Old English Sheepdog, exerciseNeed, moderate to high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exerciseNeed Context triple: [Old English Sheepdog, exerciseNeed, moderate to high]
-
A.
exerciseOf
Indicates the performance or carrying out of a right, power, function, or activity by an entity.
-
B.
exercise
chosen
Indicates that an entity engages in physical activity or training, typically to improve health, fitness, or performance.
-
C.
exerciseNature
Indicates that an entity engages in or is characterized by a particular type or manner of physical exercise or activity.
-
D.
exerciseFocus
Indicates that an exercise or workout activity is primarily directed toward or concentrated on a particular body part, skill, or fitness goal.
-
E.
exercisesWith
Indicates that two or more entities engage in physical exercise or workout activities together.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.