Triple

T7093660
Position Surface form Disambiguated ID Type / Status
Subject Genetic Information Nondiscrimination Act of 2008 E165266 entity
Predicate abbreviation P43 FINISHED
Object GINA E642292 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: GINA | Statement: [Genetic Information Nondiscrimination Act of 2008, abbreviation, GINA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GINA
Context triple: [Genetic Information Nondiscrimination Act of 2008, abbreviation, GINA]
  • A. GINA chosen
    GINA is a U.S. federal law that prohibits discrimination in health insurance and employment based on an individual’s genetic information.
  • B. GIN
    GIN is the three-letter ISO 3166-1 alpha-3 country code assigned to the West African nation of Guinea.
  • C. Gina
    Gina is a feminine given name commonly used in English and Italian-speaking countries, often as a short form of names like Regina, Georgina, or Luigina.
  • D. Gingins
    Gingins is a small Swiss municipality in the canton of Vaud, located near the Jura Mountains and Lake Geneva.
  • E. GAS
    GAS (GNU Assembler) is the assembler component of the GNU toolchain, used to translate assembly language code into machine code for various computer architectures.
  • 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_69c6887e8c10819091cee237560d32da completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e55159848190a794ad77e60c5525 completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7a31e3fec8190b22da130f7cbaaf9 completed March 28, 2026, 9:45 a.m.
Created at: March 27, 2026, 2:41 p.m.