Triple

T21759396
Position Surface form Disambiguated ID Type / Status
Subject The Avalanche E537124 entity
Predicate hasPart P35 FINISHED
Object The 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: The Avalanche | Statement: [The Avalanche, hasPart, The Avalanche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Avalanche
Context triple: [The Avalanche, hasPart, The Avalanche]
  • A. The Avalanche chosen
    The Avalanche is a 2006 compilation album by Sufjan Stevens featuring outtakes and alternate versions from his Illinois recording sessions.
  • B. Avalanche
    "Avalanche" is a dark, introspective song by Leonard Cohen, known for its haunting lyrics and stark, minimalist arrangement.
  • C. Avalanche
    Avalanche is a Marvel Comics supervillain and mutant often depicted as an enemy of the X-Men, known for his ability to generate destructive seismic waves.
  • D. 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.
  • E. Avalanche
    Avalanche is a decentralized smart contracts platform and blockchain network known for its high throughput, low latency, and support for multiple interoperable subnets.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d90eaa081909fce0549a9df1bf0 completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.