Triple
T8454745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menger curvature |
E199891
|
entity |
| Predicate | computationInput |
P82730
|
FINISHED |
| Object | three pairwise distances d(x,y), d(y,z), d(z,x) |
—
|
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: three pairwise distances d(x,y), d(y,z), d(z,x) | Statement: [Menger curvature, computationInput, three pairwise distances d(x,y), d(y,z), d(z,x)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: computationInput Context triple: [Menger curvature, computationInput, three pairwise distances d(x,y), d(y,z), d(z,x)]
-
A.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
B.
targetComputation
Indicates a relationship where one computation is designated or identified as the specific goal, focus, or intended result among possible computations.
-
C.
usesComputationMethod
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
D.
trainingCompute
Indicates the amount or configuration of computational resources used to train a model or system.
-
E.
computationalClass
Indicates that two entities share the same computational complexity class or that one entity is categorized within a specified computational complexity class.
- F. None of above. chosen
Provenance (4 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48ca9988190b60ebd09a135194d |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.