Triple
T31218408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BigDog |
E795934
|
entity |
| Predicate | balanceControl |
P171034
|
FINISHED |
| Object | dynamic |
—
|
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: dynamic | Statement: [BigDog, balanceControl, dynamic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balanceControl Context triple: [BigDog, balanceControl, dynamic]
-
A.
balanceType
Indicates the category or nature of a balance associated with an entity, such as how that balance is classified or treated.
-
B.
balancesWith
Indicates that two entities are in a state of equilibrium or mutual offset, such that each counterbalances or matches the other in a specified context.
-
C.
balanceDetectedBy
Indicates that the presence or state of balance is identified or measured by a specified detecting entity or method.
-
D.
balancesInterest
Indicates that an entity manages or adjusts multiple interests or priorities so that none is disproportionately favored over the others.
-
E.
aimsToBalance
Indicates an intention or effort by one entity to bring multiple elements, forces, or conditions into a state of equilibrium.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c4a700c81908ee61dcb01bffe50 |
completed | May 3, 2026, 12:52 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 29, 2026, 9:10 p.m.