Triple
T18051233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heapq |
E431929
|
entity |
| Predicate | moduleCategory |
P79317
|
FINISHED |
| Object | Algorithms and Data Structures |
—
|
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: Algorithms and Data Structures | Statement: [heapq, moduleCategory, Algorithms and Data Structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moduleCategory Context triple: [heapq, moduleCategory, Algorithms and Data Structures]
-
A.
moduleType
chosen
Indicates the classification or category of a module in terms of its functional or structural type.
-
B.
componentCategory
Indicates that one entity is classified as belonging to a particular component category of another entity.
-
C.
functionCategory
Indicates that one function is classified as belonging to a particular functional category or type.
-
D.
commandCategory
Indicates that an action or command is classified into a specific category or type based on its function or purpose.
-
E.
scriptCategory
Indicates the classification or type of script to which an entity (such as a written work, code, or performance text) belongs.
- 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_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. |
Created at: April 10, 2026, 10:25 a.m.