Triple
T28369948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonga Plate |
E718597
|
entity |
| Predicate | hasApproximateConvergenceRate |
P111712
|
FINISHED |
| Object | among the fastest on Earth |
—
|
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: among the fastest on Earth | Statement: [Tonga Plate, hasApproximateConvergenceRate, among the fastest on Earth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateConvergenceRate Context triple: [Tonga Plate, hasApproximateConvergenceRate, among the fastest on Earth]
-
A.
hasApproximateRate
chosen
Indicates that one entity is associated with another entity representing an estimated or non-exact rate or frequency.
-
B.
convergenceProperty
Indicates that one entity has a convergence-related characteristic or behavior with respect to another entity, such as approaching a limit or stabilizing under repeated application.
-
C.
hasApproximationRatio
Indicates that there exists a quantitative bound describing how closely an algorithm’s solution approximates the optimal solution for a given problem.
-
D.
hasApproximationGuarantee
Indicates that there exists a formal bound on how close a solution or outcome is to the optimal one.
-
E.
hasApproximateStepCount
Indicates that an entity is associated with an estimated or non-exact number of steps.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 28, 2026, 12:58 a.m.