Triple
T32213841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil |
E822875
|
entity |
| Predicate | hasInheritanceModel |
P200320
|
FINISHED |
| Object | multiple inheritance |
—
|
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: multiple inheritance | Statement: [Cecil, hasInheritanceModel, multiple inheritance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInheritanceModel Context triple: [Cecil, hasInheritanceModel, multiple inheritance]
-
A.
hasInheritanceRule
Indicates that a specific rule or policy governs how rights, properties, or attributes are passed from one entity to another.
-
B.
usesInheritanceFor
Indicates that one entity relies on or incorporates another entity through an inheritance-based relationship, typically extending or reusing its structure or behavior.
-
C.
isInherited
Indicates that one entity derives its characteristics, properties, or rights from another through an inheritance relationship.
-
D.
hasModelIn
Indicates that an entity is represented or instantiated as a model within a specified context, system, or container.
-
E.
isInheritedWithin
Indicates that a trait, property, or characteristic is passed down from one entity to another within a defined lineage, hierarchy, or inheritance structure.
- 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff80d9a1d88190a95b1488acd6e2e5 |
completed | May 9, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69ff802ae2dc819093a3cda42b63dcbd |
completed | May 9, 2026, 6:42 p.m. |
| PDg | Predicate description generation | batch_69ff80d8ff208190b9e95d077fd99f78 |
completed | May 9, 2026, 6:45 p.m. |
Created at: May 1, 2026, 12:37 a.m.