Triple
T4325170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python standard library |
E96619
|
entity |
| Predicate | includesModule |
P49317
|
FINISHED |
| Object |
pathlib
pathlib is a Python standard library module that provides an object-oriented interface for working with filesystem paths.
|
E431915
|
NE FINISHED |
How this triple was built (4 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: pathlib | Statement: [Python standard library, includesModule, pathlib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: pathlib Context triple: [Python standard library, includesModule, pathlib]
-
A.
PATH
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
-
B.
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.
-
C.
Patchway
Patchway is a suburban town and civil parish in South Gloucestershire, England, situated near Bristol and known for its post-war housing estates and proximity to major transport links.
-
D.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
E.
PEP 635
PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: pathlib Triple: [Python standard library, includesModule, pathlib]
Generated description
pathlib is a Python standard library module that provides an object-oriented interface for working with filesystem paths.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: pathlib Target entity description: pathlib is a Python standard library module that provides an object-oriented interface for working with filesystem paths.
-
A.
PATH
PATH is a rapid transit rail system connecting Manhattan in New York City with neighboring cities in northern New Jersey.
-
B.
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.
-
C.
Patchway
Patchway is a suburban town and civil parish in South Gloucestershire, England, situated near Bristol and known for its post-war housing estates and proximity to major transport links.
-
D.
PyPy
PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
-
E.
PEP 635
PEP 635 is a Python Enhancement Proposal that provides a detailed rationale and motivation for the structural pattern matching feature introduced in Python 3.10.
- F. None of above. chosen
Provenance (5 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3563eab24819088add9180af2ce3c |
completed | March 13, 2026, 12:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d094f5fc819083eddc234f46f6a1 |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d10a20248190b3214509cb637ff4 |
completed | March 14, 2026, 9:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d4f08ac4819097e71276be11403d |
completed | March 14, 2026, 9:36 p.m. |
Created at: March 12, 2026, 11:13 p.m.