Triple

T17324329
Position Surface form Disambiguated ID Type / Status
Subject Mohammed V International Airport E420646 entity
Predicate IATACode P418 FINISHED
Object CMN E420646 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: CMN | Statement: [Mohammed V International Airport, IATACode, CMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CMN
Context triple: [Mohammed V International Airport, IATACode, CMN]
  • A. CMN
    CMN is the abbreviation for the Centre des monuments nationaux, the French public institution responsible for managing and promoting many of France’s historic monuments and heritage sites.
  • B. CMN
    CMN is Chile’s National Monuments Council, the governmental body responsible for protecting and managing the country’s cultural and historical heritage sites.
  • C. CMN chosen
    CMN is the IATA airport code for Mohammed V International Airport, the main international gateway serving Casablanca and one of the busiest airports in Morocco.
  • D. CMN
    CMN is the National Rail station code for Carmarthen railway station in Carmarthenshire, Wales.
  • E. CNMN
    CNMN is a quirky, floating robot companion in the rhythm-action game Hi-Fi Rush, known for providing comic relief and technical support to the main characters.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d18e3081908ca15baa743abcd8 completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c4a6630819082998cf754e8361f completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.