Triple
T27732806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System.UInt32 |
E697469
|
entity |
| Predicate | minValue |
P7353
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [System.UInt32, minValue, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minValue Context triple: [System.UInt32, minValue, 0]
-
A.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
B.
setMinimumValue
Indicates setting a lower bound or smallest allowable value for a given parameter or quantity.
-
C.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
-
D.
hasMinimumValue
chosen
Indicates that an entity possesses a value that is the lowest permissible or observed within a specified set, range, or context.
-
E.
minimumRange
Indicates the smallest allowable or observed value within a specified range for a given relationship or measurement.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:12 p.m.