Triple

T2105899
Position Surface form Disambiguated ID Type / Status
Subject IBM PC AT E37193 entity
Predicate busType P11416 FINISHED
Object ISA E35357 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: ISA | Statement: [IBM PC AT, busType, ISA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISA
Context triple: [IBM PC AT, busType, ISA]
  • A. ISA chosen
    ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
  • B. ISA
    ISA is the acronym for the International Seabed Authority, the intergovernmental organization responsible for regulating mineral-related activities in the international seabed area beyond national jurisdiction.
  • C. ISA
    ISA is the commonly used abbreviation for Integrated Science Assessments, which are comprehensive evaluations of scientific data used to inform environmental and regulatory decisions.
  • D. ISA
    ISA is the commonly used abbreviation for the Israel State Archives, the national repository for Israeli government records and historical documents.
  • E. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.