Triple
T27734308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IStructuralComparable |
E697495
|
entity |
| Predicate | comparisonUses |
P172800
|
FINISHED |
| Object | IComparer implementation |
—
|
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: IComparer implementation | Statement: [IStructuralComparable, comparisonUses, IComparer implementation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparisonUses Context triple: [IStructuralComparable, comparisonUses, IComparer implementation]
-
A.
comparisonAspect
Indicates that two or more entities are being compared specifically with respect to a particular shared attribute or dimension.
-
B.
comparisonType
Indicates the specific kind of comparison being made between two or more values or entities (e.g., equality, inequality, ordering, or similarity).
-
C.
comparisonReason
Indicates that one entity is being compared to another specifically due to a stated reason, motive, or basis for the comparison.
-
D.
comparisonUnit
Indicates that one entity serves as the reference or baseline unit against which another entity is compared or measured.
-
E.
comparisonProperty
Indicates that one entity is being compared to another based on a specific shared property or attribute.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 27, 2026, 3:12 p.m.