Triple
T12853220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodama |
E307376
|
entity |
| Predicate | hasClassOptions |
P107215
|
FINISHED |
| Object | ordinary class |
—
|
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: ordinary class | Statement: [Kodama, hasClassOptions, ordinary class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassOptions Context triple: [Kodama, hasClassOptions, ordinary class]
-
A.
hasClass
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
B.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
-
C.
hasClassLibrary
Indicates that an entity possesses or is associated with a class library, typically a collection of reusable classes or code components.
-
D.
hasClassMethod
Indicates that a class defines or contains a specific method as part of its behavior or interface.
-
E.
hasStyle
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
| PDg | Predicate description generation | batch_69d9713e45a88190acd346f066093550 |
completed | April 10, 2026, 9:53 p.m. |
Created at: April 9, 2026, 5:36 p.m.