Triple

T23218007
Position Surface form Disambiguated ID Type / Status
Subject TS 31-series E580803 entity
Predicate focusesOn P31 FINISHED
Object USIM 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: USIM | Statement: [TS 31-series, focusesOn, USIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USIM
Context triple: [TS 31-series, focusesOn, USIM]
  • A. USIM
    USIM is a Malaysian public university that integrates Islamic values with modern scientific and professional education.
  • B. USIM chosen
    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. 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.
  • D. 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.
  • E. eSIM
    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.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1916653f08190a7dcbc659c6b6a25 completed April 29, 2026, 5:04 a.m.
Created at: April 17, 2026, 4:08 p.m.