Triple
T21989659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JSONPath |
E543048
|
entity |
| Predicate | typicalExpressionExample |
P146192
|
FINISHED |
| Object | $.store.book[*].author |
—
|
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: $.store.book[*].author | Statement: [JSONPath, typicalExpressionExample, $.store.book[*].author]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalExpressionExample Context triple: [JSONPath, typicalExpressionExample, $.store.book[*].author]
-
A.
typicalPhrase
Indicates that the object is a phrase commonly or characteristically used in connection with the subject.
-
B.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
C.
typicalSentenceType
Indicates the usual or most characteristic type of sentence associated with an entity, such as whether it is typically declarative, interrogative, imperative, or another sentence form.
-
D.
commonCompoundExample
Indicates that one entity is a typical or illustrative example of a chemical compound associated with another entity.
-
E.
isCanonicalExampleOf
Indicates that something serves as a standard or typical instance that exemplifies a concept, category, or pattern.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:05 p.m.