Triple

T17324358
Position Surface form Disambiguated ID Type / Status
Subject GMMN E420647 entity
Predicate hasICAOCode P419 FINISHED
Object GMMN E420647 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: GMMN | Statement: [GMMN, hasICAOCode, GMMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GMMN
Context triple: [GMMN, hasICAOCode, GMMN]
  • A. GMMN chosen
    GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • B. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • C. NMM
    NMM is the IATA airport code for Naval Air Station Meridian, a U.S. Navy air training facility in Mississippi.
  • D. MMNL
    MMNL is the ICAO airport code assigned to Quetzalcóatl International Airport in Nuevo Laredo, Mexico.
  • E. G3M3
    The G3M3 is an improved later variant of the Mitsubishi G3M Japanese twin-engine long-range bomber, featuring enhanced performance and reliability.
  • 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_6a01954ecadc8190a6484ff0a207fe9b completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:43 a.m.