Triple
T20148917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ether |
E491381
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | “Avalanche” |
—
|
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: “Avalanche” | Statement: [Ether, hasPart, “Avalanche”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Avalanche” Context triple: [Ether, hasPart, “Avalanche”]
-
A.
Avalanche
"Avalanche" is a dark, introspective song by Leonard Cohen, known for its haunting lyrics and stark, minimalist arrangement.
-
B.
Avalanche
Avalanche is the codename for Operation Avalanche, the Allied invasion of mainland Italy during World War II that began with the Salerno landings in September 1943.
-
C.
Avalanche
chosen
Avalanche is a decentralized smart contracts platform and blockchain network known for its high throughput, low latency, and support for multiple interoperable subnets.
-
D.
Avalanche
Avalanche is a steel bobsled roller coaster at Blackpool Pleasure Beach in England, known for its twisting, trackless-style course that simulates an Olympic bobsleigh run.
-
E.
Avalanche
"Avalanche" is an album by the indie rock band Some Velvet Sidewalk, known for its lo-fi, experimental sound within the early 1990s underground music scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0c0e881909a4f21a5d22973d2 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:33 p.m.