Triple

T12993449
Position Surface form Disambiguated ID Type / Status
Subject NSMIA E321971 entity
Predicate abbreviation P43 FINISHED
Object NSMIA E321971 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: NSMIA | Statement: [NSMIA, abbreviation, NSMIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSMIA
Context triple: [NSMIA, abbreviation, NSMIA]
  • A. NSMIA chosen
    NSMIA is a U.S. federal law enacted in 1996 that reallocated regulatory authority between federal and state governments over securities offerings and investment advisers to streamline and modernize securities regulation.
  • B. NSM
    NSM was the stock ticker symbol for National Semiconductor, a former American semiconductor manufacturer known for its analog and mixed-signal integrated circuits.
  • C. NSM
    NSM is the commonly used abbreviation for the College of Natural Sciences and Mathematics, an academic division focused on education and research in scientific and mathematical disciplines.
  • D. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • E. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7877f481908a03f1077600e58a completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8fd5f44819087df1163b8f703ec completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:44 p.m.