Triple

T22477445
Position Surface form Disambiguated ID Type / Status
Subject Boeing 737 MAX E555670 entity
Predicate abbreviation P43 FINISHED
Object MCAS 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: MCAS | Statement: [Boeing 737 MAX, abbreviation, MCAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCAS
Context triple: [Boeing 737 MAX, abbreviation, MCAS]
  • A. MCAS chosen
    MCAS (Maneuvering Characteristics Augmentation System) is an automated flight-control feature on the Boeing 737 MAX designed to adjust the aircraft’s nose-down pitch under certain conditions to improve handling characteristics.
  • B. MCAS
    MCAS is a public school district serving students in and around Michigan City, Indiana.
  • C. Massachusetts Comprehensive Assessment System
    The Massachusetts Comprehensive Assessment System is the statewide standardized testing program used to measure student achievement and school performance in Massachusetts public schools.
  • D. Michigan Merit Examination
    The Michigan Merit Examination is a standardized assessment used to evaluate high school students’ academic proficiency and readiness for postsecondary education and careers in the state of Michigan.
  • E. SLC
    SLC is a collegiate athletic conference in the NCAA Division I primarily comprising universities from the South Central United States.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be58ed08190b88706a7cb85616b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.