Triple
T1489600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaussian curvature |
E29546
|
entity |
| Predicate | isExtrinsic |
P24322
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [Gaussian curvature, isExtrinsic, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isExtrinsic Context triple: [Gaussian curvature, isExtrinsic, false]
-
A.
isIntrinsic
chosen
Indicates that a property or characteristic belongs inherently to an entity and does not depend on external conditions or relations.
-
B.
isExtremalWhen
Indicates that a given entity or configuration attains an extreme value (such as a maximum or minimum) of some specified quantity or property under certain conditions.
-
C.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
D.
isSpurOf
Indicates that one entity is a secondary offshoot, branch, or derivative extension originating from another primary entity.
-
E.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a6095481909e9d406ac9a41828 |
completed | March 1, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69a4c48902808190a8028d359bcf123e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:12 p.m.