Triple
T18158167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SHA-0 |
E434686
|
entity |
| Predicate | paddingMethod |
P130696
|
FINISHED |
| Object | MD-strengthening style padding |
—
|
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: MD-strengthening style padding | Statement: [SHA-0, paddingMethod, MD-strengthening style padding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paddingMethod Context triple: [SHA-0, paddingMethod, MD-strengthening style padding]
-
A.
reconstructionMethod
Indicates the technique or process used to reconstruct, restore, or rebuild something from its original or fragmented state.
-
B.
rollMethod
Indicates the method or technique by which a rolling action is performed or executed between entities.
-
C.
alignmentMethod
Indicates the technique or procedure used to align one entity with another or with a reference standard.
-
D.
parityBits
Indicates that there is an association between data and the parity bits used to detect or correct errors in that data.
-
E.
saltingMethod
Indicates the technique or process used to apply salt to something, such as food or materials.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec02d9c81909ac6203b7d59c405 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.