Triple

T9849381
Position Surface form Disambiguated ID Type / Status
Subject Agadir–Al Massira Airport E239425 entity
Predicate operator P179 FINISHED
Object ONDA E254178 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: ONDA | Statement: [Agadir–Al Massira Airport, operator, ONDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ONDA
Context triple: [Agadir–Al Massira Airport, operator, ONDA]
  • A. ONDA chosen
    ONDA is Morocco’s national airports authority responsible for managing and operating the country’s civil aviation airports and related services.
  • B. Onda
    Onda is a historic town in eastern Spain’s Valencian Community, known for its medieval castle and ceramic industry.
  • C. ONZ
    ONZ is the post-nominal abbreviation used by members of the Order of New Zealand, the country’s highest civilian honour.
  • D. ONN
    ONN is the acronym for Cuba’s National Office of Standardization, the state body responsible for developing and overseeing national standards and quality regulations.
  • E. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb371894c8190971ba497a2801521 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ea5eac8190af7fad00a6398c5e completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.