Triple

T11351888
Position Surface form Disambiguated ID Type / Status
Subject Avalanche E268856 entity
Predicate tickerSymbol P1447 FINISHED
Object AVAX E920338 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: AVAX | Statement: [Avalanche, tickerSymbol, AVAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AVAX
Context triple: [Avalanche, tickerSymbol, AVAX]
  • A. AVAX chosen
    AVAX is the native cryptocurrency used for transactions, staking, and governance on the Avalanche high-performance smart contract blockchain platform.
  • B. Ava Labs
    Ava Labs is a blockchain technology company best known for creating and maintaining the Avalanche smart contract platform for decentralized applications and enterprise solutions.
  • C. AAVE
    AAVE is a distinct, rule-governed variety of English historically spoken by African Americans, characterized by unique grammatical, phonological, and lexical features.
  • D. AV.
    AV. is the stock ticker symbol for Aviva plc, a major British multinational insurance, savings, and retirement services company listed on the London Stock Exchange.
  • E. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5564d5a8c81908bddbf3f771370f7 completed April 19, 2026, 10:25 p.m.
Created at: April 8, 2026, 9:33 p.m.