Triple
T25931717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AESENCLAST |
E653452
|
entity |
| Predicate | operandCount |
P127965
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [AESENCLAST, operandCount, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operandCount Context triple: [AESENCLAST, operandCount, 2]
-
A.
argumentCount
chosen
Indicates the number of arguments that a function, method, or callable entity takes.
-
B.
parameterCount
Indicates the number of parameters associated with a given function, method, or callable entity.
-
C.
parameterCountRelativeTo
Indicates a relationship comparing the number of parameters of one entity (such as a function, method, or operation) to that of another entity.
-
D.
argumentPosition
Indicates the specific syntactic or semantic slot an argument occupies within a predicate or expression (e.g., subject, object, or other ordered position).
-
E.
numberOperational
Indicates that an entity is currently functioning and available for use in its intended operational capacity.
- 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
Created at: April 22, 2026, 8:37 a.m.