Triple

T2291130
Position Surface form Disambiguated ID Type / Status
Subject Rabat–Salé Airport E51504 entity
Predicate hasICAOcode P419 FINISHED
Object GMME
GMME is the ICAO airport code for Rabat–Salé Airport, the main international airport serving Morocco’s capital region.
 E254177 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: GMME | Statement: [Rabat–Salé Airport, hasICAOcode, GMME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMME
Context triple: [Rabat–Salé Airport, hasICAOcode, GMME]
  • A. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • B. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • C. EGA
    EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
  • D. GEM
    GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: GMME
Triple: [Rabat–Salé Airport, hasICAOcode, GMME]
Generated description
GMME is the ICAO airport code for Rabat–Salé Airport, the main international airport serving Morocco’s capital region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMME
Target entity description: GMME is the ICAO airport code for Rabat–Salé Airport, the main international airport serving Morocco’s capital region.
  • A. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • B. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • C. EGA
    EGA (Enhanced Graphics Adapter) is an early IBM PC graphics standard that improved color and resolution capabilities over the original CGA.
  • D. GEM
    GEM is the Growth Enterprise Market board of the Hong Kong Stock Exchange, designed for smaller, high-growth and emerging companies to raise capital.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a88b09c644819090b503456d96bf70 completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5b3d4988190bceb3dffa9734f4b completed March 7, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f210bb881909086b86b2c3017a7 completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae8018c2e88190aaacaad9adc442cf completed March 9, 2026, 8:08 a.m.
NED2 Entity disambiguation (via description) batch_69ae806fd8008190bfd6c6bcd1d0ddbd completed March 9, 2026, 8:10 a.m.
Created at: March 4, 2026, 7:48 p.m.