Triple

T17573042
Position Surface form Disambiguated ID Type / Status
Subject Airbus A320neo E427985 entity
Predicate certificationAuthority P13210 FINISHED
Object FAA NE NERFINISHED

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: [Airbus A320neo, certificationAuthority, FAA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FAA
Context triple: [Airbus A320neo, certificationAuthority, FAA]
  • A. FAA
    The FAA is the national military aviation branch of Argentina responsible for aerial defense and air operations.
  • B. FAA
    The FAA is a common abbreviation for the Financial Administration Act, a key piece of legislation governing the financial management and administration of public funds in a given jurisdiction.
  • C. FAA chosen
    The FAA (Federal Aviation Administration) is the United States government agency responsible for regulating and overseeing all aspects of civil aviation, including aircraft certification, air traffic control, and aviation safety standards.
  • D. FAA
    The FAA is the unified military organization responsible for national defense and security in Angola.
  • E. FAA
    FAA is a post-nominal title indicating Fellowship of the Australian Academy of Science, awarded to distinguished scientists for outstanding contributions to their fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459330c788190907a02fc98e0e24b completed April 19, 2026, 4:25 a.m.
Created at: April 10, 2026, 5:50 a.m.