Triple
T4832597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | b2/cafelog |
E107977
|
entity |
| Predicate | notableUserCommunity |
P60292
|
FINISHED |
| Object | early 2000s blogging community |
—
|
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 2000s blogging community | Statement: [b2/cafelog, notableUserCommunity, early 2000s blogging community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableUserCommunity Context triple: [b2/cafelog, notableUserCommunity, early 2000s blogging community]
-
A.
notableCommunity
Indicates that an entity is a particularly prominent or significant member of a given community.
-
B.
notableUser
Indicates that the user holds a special or distinguished status, such as being recognized, influential, or otherwise noteworthy within a given context.
-
C.
usedByCommunity
Indicates that something is utilized or adopted collectively by a particular community.
-
D.
usedInCommunity
Indicates that something is employed, practiced, or applied within a particular community or communal context.
-
E.
communityAspect
Indicates that something pertains to, reflects, or influences the communal or social dimension of a group or community.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:24 p.m.