Triple
T8167561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigudi |
E190729
|
entity |
| Predicate | sisterChannelOf |
P6991
|
FINISHED |
| Object | 1+1 |
—
|
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: 1+1 | Statement: [Bigudi, sisterChannelOf, 1+1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sisterChannelOf Context triple: [Bigudi, sisterChannelOf, 1+1]
-
A.
sisterChannel
Indicates that one channel is a sibling or counterpart to another channel, typically under the same ownership or network.
-
B.
hasSisterChannel
chosen
Indicates that one media channel is related to another as its sister channel, typically under common ownership or branding.
-
C.
sisterStation
Indicates that two broadcast stations are related as counterparts, typically serving different areas or platforms under common ownership or affiliation.
-
D.
sisterTerminal
Indicates that two terminals share a sibling-like relationship, typically meaning they are distinct but related endpoints within the same larger system or structure.
-
E.
sisterRegion
Indicates that two regions are paired in a formal or symbolic partnership, typically for cultural, economic, or administrative cooperation.
- 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb46698fb88190a6d520b05cb9b03e |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb36a4c40c81909f60aef0e1624c13 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:39 p.m.