Triple

T14872607
Position Surface form Disambiguated ID Type / Status
Subject Hassan I Airport E349786 entity
Predicate ICAO code P419 FINISHED
Object GMML
GMML is the ICAO airport code assigned to Hassan I Airport in Laayoune, Western Sahara.
 E1124274 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: GMML | Statement: [Hassan I Airport, ICAO code, GMML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMML
Context triple: [Hassan I Airport, ICAO code, GMML]
  • A. GMMN
    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. GEML
    GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
  • D. GMMS
    GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
  • E. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • 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: GMML
Triple: [Hassan I Airport, ICAO code, GMML]
Generated description
GMML is the ICAO airport code assigned to Hassan I Airport in Laayoune, Western Sahara.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMML
Target entity description: GMML is the ICAO airport code assigned to Hassan I Airport in Laayoune, Western Sahara.
  • A. GMMN
    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. GEML
    GEML is the ICAO airport code assigned to Melilla Airport in the Spanish autonomous city of Melilla.
  • D. GMMS
    GMMS is the National Location Code used within the UK rail industry to uniquely identify Mills Hill railway station in operational and ticketing systems.
  • E. MML
    MML is a major inter-city rail route in England connecting London with key cities in the East Midlands and South Yorkshire.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e2c94c8190a16f05ea81701fc1 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe65129a588190bbad294b500f411f completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe66a5f3a88190827c6c9247323153 completed May 8, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69fe6736ff34819098524e4401a414aa completed May 8, 2026, 10:44 p.m.
Created at: April 10, 2026, 1:55 a.m.