Triple
T18051253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heapq |
E431929
|
entity |
| Predicate | nsmallestSignature |
P129633
|
FINISHED |
| Object | nsmallest(n, iterable, key=None) |
—
|
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: nsmallest(n, iterable, key=None) | Statement: [heapq, nsmallestSignature, nsmallest(n, iterable, key=None)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nsmallestSignature Context triple: [heapq, nsmallestSignature, nsmallest(n, iterable, key=None)]
-
A.
isSmallestOf
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
B.
minimumNumber
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
C.
smallestDelegationFrom
Indicates that the subject entity has the smallest (minimum-sized) delegation originating from the specified source entity, compared to all other delegations from that source.
-
D.
estimatedNumberOfSignatures
Indicates the approximate count of signatures associated with or required for a given item, action, or agreement.
-
E.
minimumSize
Indicates that there is a lower bound or smallest allowable value for the size of something in the relationship.
- 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_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_69e3f90c652481908133a73106d78919 |
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.