Triple
T1783799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartesian coordinate system |
E39344
|
entity |
| Predicate | belongsToField |
P28674
|
FINISHED |
| Object | analytic geometry |
—
|
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: analytic geometry | Statement: [Cartesian coordinate system, belongsToField, analytic geometry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToField Context triple: [Cartesian coordinate system, belongsToField, analytic geometry]
-
A.
belongsToInteraction
Indicates that one entity is part of, or associated as a component within, a specific interaction event or process.
-
B.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
C.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
D.
belongTo
chosen
Indicates that one entity is a member, part, or property of another entity, signifying ownership, inclusion, or association.
-
E.
belongsToProgram
Indicates that an entity is a member of, or is associated with, a specific program.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab75457e54819096b8c6ae8c65550c |
completed | March 7, 2026, 12:45 a.m. |
| PD | Predicate disambiguation | batch_69aa61d165688190924962a98e07ff69 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.