Triple
T28265078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CITI |
E712679
|
entity |
| Predicate | hasSuccessorChannel |
P61246
|
FINISHED |
| Object | PlusPlus |
—
|
NE NERFINISHED |
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: PlusPlus | Statement: [CITI, hasSuccessorChannel, PlusPlus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSuccessorChannel Context triple: [CITI, hasSuccessorChannel, PlusPlus]
-
A.
successorChannel
chosen
Indicates that one communication channel directly follows or replaces another in a sequence or progression.
-
B.
hasSisterChannel
Indicates that one media channel is related to another as its sister channel, typically under common ownership or branding.
-
C.
hasSuccessorSegment
Indicates that one segment directly follows another segment in a sequence or ordered structure.
-
D.
hasOnlineSuccessor
Indicates that one entity is the direct online or digital successor of another, typically replacing or continuing its function in an online context.
-
E.
hasSuccessorScheme
Indicates that one scheme is the direct successor or follow-up to another scheme in a sequence or versioning relationship.
- 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 27, 2026, 11:14 p.m.