Triple

T9849379
Position Surface form Disambiguated ID Type / Status
Subject Agadir–Al Massira Airport E239425 entity
Predicate ICAOcode P419 FINISHED
Object GMAD
GMAD is the ICAO airport code for Agadir–Al Massira Airport, the main international airport serving Agadir in southwestern Morocco.
 E824901 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: GMAD | Statement: [Agadir–Al Massira Airport, ICAOcode, GMAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMAD
Context triple: [Agadir–Al Massira Airport, ICAOcode, GMAD]
  • A. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • B. Gad
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • E. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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: GMAD
Triple: [Agadir–Al Massira Airport, ICAOcode, GMAD]
Generated description
GMAD is the ICAO airport code for Agadir–Al Massira Airport, the main international airport serving Agadir in southwestern Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMAD
Target entity description: GMAD is the ICAO airport code for Agadir–Al Massira Airport, the main international airport serving Agadir in southwestern Morocco.
  • A. GMD
    GMD is a U.S. missile defense system designed to detect, track, and intercept long-range ballistic missiles during their midcourse phase in space.
  • B. Gad
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • C. GD
    GD is the abbreviation for Guangdong, a populous and economically significant coastal province in southern China.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb371894c8190971ba497a2801521 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ea5eac8190af7fad00a6398c5e completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6815e28819081788393cda63bc0 completed April 5, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.