Triple
T18051425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python official documentation |
E431933
|
entity |
| Predicate | describes |
P264
|
FINISHED |
| Object | Python I/O |
—
|
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: Python I/O | Statement: [Python official documentation, describes, Python I/O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python I/O Context triple: [Python official documentation, describes, Python I/O]
-
A.
IO
IO is the commonly used abbreviation for the U.S. Department of State’s Bureau of International Organization Affairs, which manages U.S. engagement with international organizations such as the United Nations.
-
B.
i/o
i/o is a studio album by English musician Peter Gabriel, known for its long-anticipated release and exploration of human connection, technology, and consciousness.
-
C.
Python
Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
-
D.
Python
chosen
Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
-
E.
TensorFlow I/O
TensorFlow I/O is an extension library for TensorFlow that provides specialized input/output operations and dataset integrations for a wide range of file formats and data sources beyond the core framework’s built-in support.
- 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_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.