Triple
T28616384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CreateSemaphore |
E724281
|
entity |
| Predicate | maximumCountConstraint |
P177132
|
FINISHED |
| Object | must be positive LONG value |
—
|
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: must be positive LONG value | Statement: [CreateSemaphore, maximumCountConstraint, must be positive LONG value]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumCountConstraint Context triple: [CreateSemaphore, maximumCountConstraint, must be positive LONG value]
-
A.
maxNumberOfValues
Indicates the maximum count of distinct values that may be associated with a given entity or property in this relationship.
-
B.
maximumObjectCount
chosen
Indicates the largest number of objects that are allowed or expected to participate in or be associated with a given relationship or context.
-
C.
maximumCapacity
Indicates the greatest allowable or designed amount of something that an entity can hold, contain, or handle.
-
D.
cannotExceed
Indicates that one quantity, value, or limit must not be greater than another specified quantity or threshold.
-
E.
maximumTermCount
Indicates the highest number of terms that are allowed or considered within a given context or operation.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 28, 2026, 4:32 a.m.