Triple
T4832598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | b2/cafelog |
E107977
|
entity |
| Predicate | codebaseReusedIn |
P31896
|
FINISHED |
| Object | early WordPress releases |
—
|
LITERAL 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: early WordPress releases | Statement: [b2/cafelog, codebaseReusedIn, early WordPress releases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codebaseReusedIn Context triple: [b2/cafelog, codebaseReusedIn, early WordPress releases]
-
A.
sharesCodebaseWith
chosen
Indicates that two software systems or components are built from, or depend on, substantially the same underlying source code.
-
B.
alsoUsedBy
Indicates that something is additionally utilized or employed by another entity, beyond any primary or previously mentioned user.
-
C.
usedInProject
Indicates that something (such as a resource, tool, or component) is employed or utilized within a particular project.
-
D.
areUsedIn
Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
-
E.
usedAsSourceIn
Indicates that something serves as the origin, basis, or input from which another thing is derived, produced, or obtained.
- F. None of above.
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_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.