Triple
T36151581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVL tree |
E1045598
|
entity |
| Predicate | balanceFactorRange |
P28992
|
FINISHED |
| Object | -1 to 1 |
—
|
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: -1 to 1 | Statement: [AVL tree, balanceFactorRange, -1 to 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: balanceFactorRange Context triple: [AVL tree, balanceFactorRange, -1 to 1]
-
A.
balanceFactorDefinition
Indicates the relationship that defines how a balance factor is calculated or determined for an entity or system.
-
B.
isBalanced
Indicates that the elements or parts involved are in a state of equilibrium, with no side or component outweighing or dominating the others.
-
C.
rangeOf
chosen
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
D.
rankRange
Indicates that an entity’s rank falls within a specified minimum and maximum range.
-
E.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b69b333081909cadbed3fcb8ecf5 |
completed | May 3, 2026, 8:56 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c2a5f8819094ad4621d7b97e0c |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:08 p.m.