Triple
T18050919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | statistics |
E431923
|
entity |
| Predicate | supportsIterableInput |
P129620
|
FINISHED |
| Object | True |
—
|
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: True | Statement: [statistics, supportsIterableInput, True]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsIterableInput Context triple: [statistics, supportsIterableInput, True]
-
A.
supportsAsyncIteration
Indicates that one entity provides or is compatible with asynchronous iteration capabilities for another entity or within a given context.
-
B.
canBeImplementedIteratively
Indicates that the given concept, algorithm, or process is capable of being realized using an iterative (loop-based) approach rather than, or in addition to, a recursive or non-iterative one.
-
C.
canBeIteratedWithForIn
Indicates that an entity supports iteration using a `for...in` loop construct.
-
D.
supportsOutputType
Indicates that one entity is capable of producing, handling, or generating data or results of the specified output type.
-
E.
hasInput
Indicates that an entity receives or takes another entity as an input to its process, function, or operation.
- F. None of above. chosen
Provenance (4 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:25 a.m.