Triple

T23046210
Position Surface form Disambiguated ID Type / Status
Subject Orb E573883 entity
Predicate associatedWith P37 FINISHED
Object Worldcoin token 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: Worldcoin token | Statement: [Orb, associatedWith, Worldcoin token]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worldcoin token
Context triple: [Orb, associatedWith, Worldcoin token]
  • A. Worldcoin chosen
    Worldcoin is a cryptocurrency and digital identity project that aims to create a global financial network by uniquely verifying individuals, co-founded by Sam Altman.
  • B. REN token
    REN token is the native cryptocurrency of the Ren protocol, used primarily for staking and securing its decentralized network of Darknodes that enable cross-chain asset transfers.
  • C. GenCoin
    GenCoin is a fictional cryptocurrency startup concept often used to explore themes of digital finance, tech disruption, and speculative investment.
  • D. Energy Web Chain
    Energy Web Chain is an open-source, enterprise-grade blockchain platform designed to support decarbonization and digitalization of the global energy sector.
  • E. Alma Coin
    Alma Coin is the calculating and power-hungry President of District 13 who leads the rebellion against the Capitol in Suzanne Collins' Hunger Games series.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f185192754819093a87d23371e7bbc completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.