Triple
T14116961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cascade |
E339797
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Cascade Complete |
E339797
|
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: Cascade Complete | Statement: [Cascade, hasVariant, Cascade Complete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cascade Complete Context triple: [Cascade, hasVariant, Cascade Complete]
-
A.
Cascade
chosen
Cascade is a popular Procter & Gamble brand of automatic dishwasher detergents known for its cleaning power and spot-free shine.
-
B.
Cascade
Cascade is a communications payload component associated with the CASSIOPE satellite mission, designed to support advanced space-based data and messaging services.
-
C.
Finish
Finish is a leading brand of automatic dishwasher detergents and related cleaning products widely used in households around the world.
-
D.
CEED
CEED is a research center focused on understanding the formation, evolution, and dynamic processes of the Earth.
-
E.
CEED
CEED (Common Entrance Examination for Design) is a national-level entrance exam in India that evaluates candidates’ aptitude for postgraduate studies in design at premier institutes like the IITs and IISc.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6010a03c81909f5f160f8d1fa8fa |
completed | April 14, 2026, 3:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0baa328819099511dfa7b9666d3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.