Triple

T23363230
Position Surface form Disambiguated ID Type / Status
Subject UICC E593240 entity
Predicate relatedTo P37 FINISHED
Object eUICC 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: eUICC | Statement: [UICC, relatedTo, eUICC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: eUICC
Context triple: [UICC, relatedTo, eUICC]
  • A. iSIM
    iSIM is an integrated SIM technology that embeds subscriber identity functionality directly into a device’s main chipset, offering a more compact and power-efficient alternative to traditional SIM and eSIM solutions.
  • B. USIM
    USIM (Universal Subscriber Identity Module) is a smart card application used in 3G and later mobile networks to securely store subscriber credentials and enable authentication and access to network services.
  • C. USIM
    USIM is a Malaysian public university that integrates Islamic values with modern scientific and professional education.
  • D. eSIM chosen
    eSIM is an embedded, programmable SIM technology built into devices that lets users activate and switch mobile carriers digitally without needing a physical SIM card.
  • E. UICC
    The UICC (Universal Integrated Circuit Card) is a secure smart card platform used in mobile devices to host applications like SIM, USIM, and other network access and security services.
  • 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_69e25d2593c88190bcdf4a716a94ccb2 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a0aa0ed88190b0198cbfd1bcc59b completed April 29, 2026, 6:09 a.m.
Created at: April 17, 2026, 5:30 p.m.