Triple

T23363347
Position Surface form Disambiguated ID Type / Status
Subject USIM E593242 entity
Predicate relatedTo P37 FINISHED
Object ISIM 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: ISIM | Statement: [USIM, relatedTo, ISIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISIM
Context triple: [USIM, relatedTo, ISIM]
  • A. ISIM
    ISIM is the Integrated Science Instrument Module of the James Webb Space Telescope, housing and supporting its primary scientific instruments for observing the universe.
  • B. ISIM chosen
    ISIM (IP Multimedia Services Identity Module) is a specialized application on a UICC card that securely stores subscriber credentials and settings for accessing IP Multimedia Subsystem (IMS) services such as VoLTE and video calling.
  • C. CSIM
    CSIM is a CDMA Subscriber Identity Module application used on UICC cards to securely store subscriber credentials and enable CDMA network services.
  • D. SIMID
    SIMID (Secure Interactive Media Interface Definition) is a digital advertising standard that defines how interactive video ads communicate and operate within video players across platforms.
  • E. ISIR
    ISIR is a research institute focused on advancing scientific and industrial technologies through interdisciplinary research and innovation.
  • 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, 5:31 p.m.