Triple
T18050483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pathlib |
E431915
|
entity |
| Predicate | containsClass |
P9272
|
FINISHED |
| Object | PurePosixPath |
—
|
NE NERFINISHED |
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: PurePosixPath | Statement: [pathlib, containsClass, PurePosixPath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PurePosixPath Context triple: [pathlib, containsClass, PurePosixPath]
-
A.
POSIX
POSIX is a family of standardized operating system interfaces and utilities that ensure compatibility and portability among Unix-like systems and applications.
-
B.
pathlib
chosen
pathlib is a Python standard library module that provides an object-oriented interface for working with filesystem paths.
-
C.
PATH
PATH is the stock ticker symbol for UiPath, a leading enterprise software company specializing in robotic process automation (RPA) solutions.
-
D.
PATH
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
-
E.
PATH
PATH is an international nonprofit organization focused on improving global health through innovation, partnerships, and the development and delivery of affordable health technologies and solutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 10:25 a.m.