Triple
T6801471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poincaré inequality |
E156195
|
entity |
| Predicate | constantDependsOn |
P35292
|
FINISHED |
| Object | geometry of the domain |
—
|
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: geometry of the domain | Statement: [Poincaré inequality, constantDependsOn, geometry of the domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constantDependsOn Context triple: [Poincaré inequality, constantDependsOn, geometry of the domain]
-
A.
positionDependsOn
Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
-
B.
hasDependentVariable
chosen
Indicates that one variable’s value is determined by, or functionally depends on, the value(s) of another variable or set of variables.
-
C.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
D.
doesNotDependOn
Indicates that one entity’s state, behavior, or outcome is completely independent of, and not influenced or determined by, another entity.
-
E.
distanceSupportDependsOn
Indicates that the level or type of support provided is contingent on the physical or relational distance between the involved entities.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2e595188190a0bb4b595df3adb2 |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d099bf08819089a9f9894d037e74 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:16 p.m.