Triple
T4832568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | b2/cafelog |
E107977
|
entity |
| Predicate | foundationFor |
P1450
|
FINISHED |
| Object | WordPress |
E107975
|
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: WordPress | Statement: [b2/cafelog, foundationFor, WordPress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WordPress Context triple: [b2/cafelog, foundationFor, WordPress]
-
A.
WordPress
WordPress is a widely used open-source content management system that enables users to create, manage, and publish websites and blogs through a user-friendly, web-based interface.
-
B.
WordPress.com
WordPress.com is a popular hosted blogging and website-building platform that allows users to create and manage websites without needing to run their own server software.
-
C.
WordPress Foundation
chosen
The WordPress Foundation is a nonprofit organization that supports and protects the open-source WordPress project and its community.
-
D.
Drupal
Drupal is a free, open-source content management framework used to build and manage complex websites and web applications.
-
E.
WordPress.com VIP
WordPress.com VIP is a premium, enterprise-grade managed hosting and support platform for large-scale WordPress sites, offering high performance, security, and expert services for major publishers and businesses.
- 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_69be9232aa3081908d08c64d71a9e3cf |
completed | March 21, 2026, 12:42 p.m. |
Created at: March 20, 2026, 1:24 p.m.