Triple
T29938507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRG32k3a generator |
E760432
|
entity |
| Predicate | hasSeedConstraint |
P128523
|
FINISHED |
| Object | state must not be all zeros in each component |
—
|
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: state must not be all zeros in each component | Statement: [MRG32k3a generator, hasSeedConstraint, state must not be all zeros in each component]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeedConstraint Context triple: [MRG32k3a generator, hasSeedConstraint, state must not be all zeros in each component]
-
A.
hasSeedCount
Indicates that an entity possesses a specific number of seeds.
-
B.
hasSeed
Indicates that one entity contains, produces, or is characterized by the presence of a seed associated with another entity.
-
C.
hasSeedingRequirement
chosen
Indicates that one entity specifies a condition or prerequisite that must be met before another entity can be initiated, started, or seeded.
-
D.
hasSeedShape
Indicates that one entity possesses seeds that have a particular geometric or morphological shape specified by the other entity.
-
E.
hasSeedingRange
Indicates the range or interval of seed positions or rankings within which something is assigned or considered.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fe78e545888190a239af1a84280fa0 |
completed | May 8, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69fe7842742081908043eb950ed69f92 |
completed | May 8, 2026, 11:56 p.m. |
Created at: April 29, 2026, 6:21 p.m.