Triple
T4833260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knight 3rd Class |
E107994
|
entity |
| Predicate | belongsToOrderClassSystem |
P60300
|
FINISHED |
| Object | Military William Order class system |
—
|
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: Military William Order class system | Statement: [Knight 3rd Class, belongsToOrderClassSystem, Military William Order class system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToOrderClassSystem Context triple: [Knight 3rd Class, belongsToOrderClassSystem, Military William Order class system]
-
A.
belongsToPlatform
Indicates that something is associated with, owned by, or part of a particular platform.
-
B.
associatedWithClass
Indicates that an entity has a connection or linkage to a particular class or category, without specifying the exact nature of that relationship.
-
C.
belongsToCycle
Indicates that an entity is part of, or contained within, a specific cycle or cyclic structure.
-
D.
belongsToGeneration
Indicates that an entity is associated with, classified within, or a member of a particular generation or generational group.
-
E.
belongsToCatalogOf
Indicates that one item is included within, or is a member of, a particular catalog or collection.
- 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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:24 p.m.