Triple
T12220517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plücker formulas |
E291201
|
entity |
| Predicate | givesRelationBetween |
P8534
|
FINISHED |
| Object | degree and class of a plane curve |
—
|
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: degree and class of a plane curve | Statement: [Plücker formulas, givesRelationBetween, degree and class of a plane curve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesRelationBetween Context triple: [Plücker formulas, givesRelationBetween, degree and class of a plane curve]
-
A.
definesRelationshipBetween
chosen
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
B.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
C.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
D.
representsInRelationsWith
Indicates that an entity serves as a representative or proxy for another entity within a specified relationship or set of relationships.
-
E.
termRelationTo
Indicates a general relational association between one term and another, without specifying the exact nature of that 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.