Triple
T10825794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | reStructuredText |
E255494
|
entity |
| Predicate | commonlyUsedWith |
P3100
|
FINISHED |
| Object | Read the Docs |
E430985
|
NE 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: Read the Docs | Statement: [reStructuredText, commonlyUsedWith, Read the Docs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Read the Docs Context triple: [reStructuredText, commonlyUsedWith, Read the Docs]
-
A.
Read the Docs
chosen
Read the Docs is an open-source documentation hosting platform that automatically builds, version-manages, and serves technical docs for software projects.
-
B.
MkDocs
MkDocs is a static site generator geared toward building project documentation from Markdown files, typically configured with a simple YAML file and extensible through themes and plugins.
-
C.
reStructuredText
reStructuredText is a lightweight, plaintext markup language commonly used in the Python ecosystem for documentation, including PEPs and Sphinx-based docs.
-
D.
DOCU
DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
-
E.
GitHub Pages
GitHub Pages is a static site hosting service that lets users publish web pages directly from their GitHub repositories.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d734d0389c819090a892693c4046ed |
completed | April 9, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de858672d8819094baf4fe98b8dea4 |
completed | April 14, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:19 p.m.