Triple
T4832582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | b2/cafelog |
E107977
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | b2 weblog software |
E107977
|
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: b2 weblog software | Statement: [b2/cafelog, alsoKnownAs, b2 weblog software]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: b2 weblog software Context triple: [b2/cafelog, alsoKnownAs, b2 weblog software]
-
A.
Blogger
Blogger is a popular online platform that allows users to create, publish, and manage personal or professional blogs on the web.
-
B.
b2/cafelog
chosen
b2/cafelog was an early open-source blogging platform and content management system that served as the foundation for what later became WordPress.
-
C.
WEB
WEB is Donald Knuth’s original literate programming system that integrates Pascal source code with documentation in a single file to produce both compilable programs and high-quality typeset documentation.
-
D.
BMC
BMC is the civic governing body responsible for administering and managing the city of Mumbai, India.
-
E.
Angelfire
Angelfire is a web hosting and website-building service best known for providing free personal homepages during the early days of the consumer internet.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc924e08190b03a7541c629aff9 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dd744688190a420580e3a8332ff |
completed | March 21, 2026, 7:50 a.m. |
Created at: March 20, 2026, 1:24 p.m.