Triple
T28616094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GetLastError |
E724275
|
entity |
| Predicate | returnsZeroMeaning |
P171465
|
FINISHED |
| Object | no extended error information is available |
—
|
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: no extended error information is available | Statement: [GetLastError, returnsZeroMeaning, no extended error information is available]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnsZeroMeaning Context triple: [GetLastError, returnsZeroMeaning, no extended error information is available]
-
A.
returnValueMeaning
chosen
Indicates that one value semantically represents or explains the meaning, interpretation, or role of another value (typically a return value).
-
B.
isZeroFor
Indicates that a given value, expression, or function evaluates to zero when applied to or considered with respect to a specified entity or context.
-
C.
isZeroIf
Indicates that a value or expression becomes zero when a specified condition holds or a particular argument takes a given value.
-
D.
zeroDefinition
Indicates that something has no defined value, quantity, or specification within the given context.
-
E.
isZeroSum
Indicates that the interaction, game, or transaction is structured so that any gain by one participant is exactly balanced by an equivalent loss by others, making the net total change zero.
- 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_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 4:31 a.m.