Triple
T8399114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartesian circle |
E198125
|
entity |
| Predicate | hasInterpretations |
P33381
|
FINISHED |
| Object | strong circularity reading |
—
|
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: strong circularity reading | Statement: [Cartesian circle, hasInterpretations, strong circularity reading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterpretations Context triple: [Cartesian circle, hasInterpretations, strong circularity reading]
-
A.
containsInterpretationOf
chosen
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
B.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
C.
followsInterpretationsOf
Indicates that one entity adheres to, is guided by, or acts in accordance with the interpretations provided or established by another entity.
-
D.
hasInterpretiveSigns
Indicates that interpretive or informational signs are present at or associated with the subject.
-
E.
hasCulturalInterpretation
Indicates that something is understood, represented, or given meaning within a particular cultural context or tradition.
- 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_69ca82f816bc8190ab321c07d72208c1 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb824ac29481909f02cdb2b7cd18af |
completed | March 31, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69cb70d24b248190a326aa6804f942b5 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:04 p.m.