Triple

T4204033
Position Surface form Disambiguated ID Type / Status
Subject Mohammed V International Airport E86139 entity
Predicate ICAOcode P419 FINISHED
Object GMMN
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
 E420647 NE FINISHED

How this triple was built (4 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: [Mohammed V International Airport, ICAOcode, GMMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMMN
Context triple: [Mohammed V International Airport, ICAOcode, GMMN]
  • A. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • B. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • C. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • D. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • E. MANN
    MANN is a major Italian archaeological museum in Naples renowned for its extensive collections of Greek, Roman, and particularly Pompeian antiquities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GMMN
Triple: [Mohammed V International Airport, ICAOcode, GMMN]
Generated description
GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMMN
Target entity description: GMMN is the ICAO airport code for Mohammed V International Airport, the main international gateway serving Casablanca, Morocco.
  • A. GMMX
    GMMX is the ICAO airport code for Marrakesh Menara Airport, a major international airport serving the city of Marrakesh in Morocco.
  • B. DNMM
    DNMM is the ICAO airport code for Murtala Muhammed International Airport, the main international gateway serving Lagos, Nigeria.
  • C. NNMC
    NNMC is the commonly used abbreviation for the National Naval Medical Center, the former U.S. Navy flagship hospital in Bethesda, Maryland.
  • D. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • E. MANN
    MANN is a major Italian archaeological museum in Naples renowned for its extensive collections of Greek, Roman, and particularly Pompeian antiquities.
  • F. None of above. chosen

Provenance (5 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0380d470819091ffdb1161437266 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a19c90c819083a750fafa6fd1c7 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e337aec819092020d46ee235fd1 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e9f50948190a40254375e76153c completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:49 p.m.