Triple
T7050611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning of the Wheel of Dharma |
E163753
|
entity |
| Predicate | associatedNumberOfSpokes |
P23189
|
FINISHED |
| Object | eight spokes symbolizing the Noble Eightfold Path |
—
|
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: eight spokes symbolizing the Noble Eightfold Path | Statement: [Turning of the Wheel of Dharma, associatedNumberOfSpokes, eight spokes symbolizing the Noble Eightfold Path]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedNumberOfSpokes Context triple: [Turning of the Wheel of Dharma, associatedNumberOfSpokes, eight spokes symbolizing the Noble Eightfold Path]
-
A.
hasNumberOfSpokes
Indicates the relationship that specifies how many spokes are present in or associated with an object.
-
B.
numberOfSpokes
chosen
Indicates the count of individual spokes associated with or contained in a given object or structure.
-
C.
shaftCount
Indicates the number of shafts associated with or contained in an object or system.
-
D.
hasSpokesmodel
Indicates that one entity serves as the official promotional representative or public face (spokesmodel) for another entity.
-
E.
typicalSpindleCount
Indicates the usual or standard number of spindles associated with an entity in this relationship.
- F. None of above.
Provenance (3 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.