Triple
T31667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nash embedding theorem |
E631
|
entity |
| Predicate | clarifies |
P264
|
FINISHED |
| Object | relationship between intrinsic curvature and extrinsic curvature |
—
|
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: relationship between intrinsic curvature and extrinsic curvature | Statement: [Nash embedding theorem, clarifies, relationship between intrinsic curvature and extrinsic curvature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clarifies Context triple: [Nash embedding theorem, clarifies, relationship between intrinsic curvature and extrinsic curvature]
-
A.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
B.
describes
chosen
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
D.
implies
Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
-
E.
establishes
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.