Triple
T4470308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACKTR |
E98477
|
entity |
| Predicate | usesNaturalGradient |
P89
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [ACKTR, usesNaturalGradient, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNaturalGradient Context triple: [ACKTR, usesNaturalGradient, true]
-
A.
averageGradient
Indicates the mean rate of change (slope) of a quantity over a specified interval or region.
-
B.
maximumGradient
Indicates the greatest rate of change or steepest slope that occurs within a given function, surface, or dataset.
-
C.
averageGradientFromOvaro
Indicates the average slope or steepness calculated starting from the location Ovaro along a specified route or segment.
-
D.
usesComputationMethod
chosen
Indicates that an entity performs its processing or decision-making by applying a specified computational method or algorithm.
-
E.
naturalOrArtificial
Indicates that something is classified as either naturally occurring or artificially created.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356fb69a0819099f0005779f4fcac |
completed | March 13, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69b3563bf4f8819081726cde3a34460b |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:34 p.m.