Triple
T25602594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reed–Solomon codes |
E641825
|
entity |
| Predicate | canCorrect |
P158899
|
FINISHED |
| Object | both errors and erasures |
—
|
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: both errors and erasures | Statement: [Reed–Solomon codes, canCorrect, both errors and erasures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canCorrect Context triple: [Reed–Solomon codes, canCorrect, both errors and erasures]
-
A.
from
Indicates that something originates, is sent, or is derived from a particular source or starting point.
-
B.
cannot
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
-
C.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
-
D.
down
Indicates that one entity is located at a lower position or level relative to another entity or reference point.
-
E.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a7d7d881909014fdf3746f981b |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 4:36 p.m.