Triple
T13507247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | splay tree |
E321044
|
entity |
| Predicate | insertOperationEffect |
P92013
|
FINISHED |
| Object | inserted node is splayed to the root |
—
|
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: inserted node is splayed to the root | Statement: [splay tree, insertOperationEffect, inserted node is splayed to the root]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insertOperationEffect Context triple: [splay tree, insertOperationEffect, inserted node is splayed to the root]
-
A.
insertionManeuver
Indicates the action of placing or guiding one object or component into another or into a designated position.
-
B.
inOperation
Indicates that an entity (such as a system, device, or facility) is currently active, functioning, and performing its intended operation.
-
C.
insertedUnder
Indicates that one entity has been placed or positioned beneath another entity, typically in a physical or structural context.
-
D.
effectOnPUT
chosen
Indicates the impact or consequence that an action, condition, or entity has on a PUT (update) operation.
-
E.
migrationImpact
Indicates how migration influences or changes conditions, outcomes, or states within a given context.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf8259a08190ada13c4a3078f07d |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.