Triple
T5187385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honor and Fatherland |
E117065
|
entity |
| Predicate | typeOfValue |
P61969
|
FINISHED |
| Object | patriotic value |
—
|
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: patriotic value | Statement: [Honor and Fatherland, typeOfValue, patriotic value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfValue Context triple: [Honor and Fatherland, typeOfValue, patriotic value]
-
A.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
B.
variableType
Indicates that one entity is the type or data category of the other entity, which is a variable.
-
C.
typeOfCondition
Indicates that one condition is a specific kind, category, or subtype of another condition.
-
D.
typeOfNamedThing
Indicates that one entity is the specific type or category to which the named thing belongs.
-
E.
typeOfDate
Indicates that one entity specifies the category or kind of date (e.g., start date, end date, due date) that characterizes another date-related entity or value.
- 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_69bd44620ff48190bcac01782107a397 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79c3e9e08190848be4208b72f310 |
completed | March 20, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69bd77b7e8b4819092ec3965e11f2dea |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:46 p.m.