Triple

T620534
Position Surface form Disambiguated ID Type / Status
Subject SIGCSE E14500 entity
Predicate conferenceSeries P3308 FINISHED
Object ICER E77752 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: ICER | Statement: [SIGCSE, conferenceSeries, ICER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ICER
Context triple: [SIGCSE, conferenceSeries, ICER]
  • A. ICER conference chosen
    The ICER conference is a leading international research-focused event on computer science education, bringing together scholars and practitioners to share and discuss advances in the field.
  • B. ISCAS
    ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
  • C. ICS
    ICS refers to the Indian Civil Service, the elite higher civil service of the British Empire in India that formed the administrative backbone of colonial governance.
  • D. IPEC
    IPEC is the U.S. government’s chief coordinator for developing and overseeing national policies and strategies to protect and enforce intellectual property rights.
  • E. EIC
    EIC is the common abbreviation for the British East India Company, the powerful trading corporation that played a central role in establishing British rule in India.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a514b514819088e7b6b7e4675905 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a567012e9c81909d502e29fff35750 completed March 2, 2026, 10:31 a.m.
Created at: March 1, 2026, 7:35 p.m.