Triple

T2989595
Position Surface form Disambiguated ID Type / Status
Subject CACTUS E80713 entity
Predicate regulatoryContext P4800 FINISHED
Object FAA E3509 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: FAA | Statement: [CACTUS, regulatoryContext, FAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAA
Context triple: [CACTUS, regulatoryContext, FAA]
  • A. FAA
    FAA is the commonly used abbreviation for the College of Fine and Applied Arts, an academic unit focused on disciplines such as visual arts, design, and performance.
  • B. FAA
    The FISA Amendments Act of 2008 (FAA) is a U.S. federal law that updated and expanded government surveillance authorities under the Foreign Intelligence Surveillance Act, particularly for monitoring communications of non-U.S. persons abroad.
  • C. FAA
    The FAA is the national military aviation branch of Argentina responsible for aerial defense and air operations.
  • D. FAA
    The Foreign Assistance Act of 1961 (FAA) is a landmark U.S. law that reorganized and governs most American foreign aid and development assistance programs.
  • E. Federal Aviation Administration chosen
    The Federal Aviation Administration is the U.S. government agency responsible for regulating and overseeing all aspects of civil aviation safety and operations.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99dcdb00819092ca5f10396408e0 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10900bf2481908b7742604c6d75e9 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:59 p.m.