Triple

T12872064
Position Surface form Disambiguated ID Type / Status
Subject Zagora Airport E307874 entity
Predicate ICAOcode P419 FINISHED
Object GMAZ
GMAZ is the ICAO airport code for Zagora Airport in Morocco.
 E1006394 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: GMAZ | Statement: [Zagora Airport, ICAOcode, GMAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMAZ
Context triple: [Zagora Airport, ICAOcode, GMAZ]
  • A. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • B. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • C. MAZ
    MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
  • D. GNZM
    GNZM is the post-nominal title used by Dames and Knights Grand Companion of the New Zealand Order of Merit, one of the country’s highest honours.
  • E. GMAB
    GMAB is the stock ticker symbol for Genmab A/S, a Danish biotechnology company specializing in the development of antibody-based cancer therapies.
  • 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: GMAZ
Triple: [Zagora Airport, ICAOcode, GMAZ]
Generated description
GMAZ is the ICAO airport code for Zagora Airport in Morocco.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMAZ
Target entity description: GMAZ is the ICAO airport code for Zagora Airport in Morocco.
  • A. GMZ
    GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • B. GZM
    GZM is a major metropolitan area, often referring to the Upper Silesian–Zagłębie Metropolis in southern Poland, encompassing a large urban and industrial region.
  • C. MAZ
    MAZ is the IATA airport code for Eugenio María de Hostos Airport, a regional airport serving Mayagüez in western Puerto Rico.
  • D. GNZM
    GNZM is the post-nominal title used by Dames and Knights Grand Companion of the New Zealand Order of Merit, one of the country’s highest honours.
  • E. GMAB
    GMAB is the stock ticker symbol for Genmab A/S, a Danish biotechnology company specializing in the development of antibody-based cancer therapies.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970905784819091631161a9de98c5 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb4b28c8190a4ec9cad4e1e0f05 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69cc60c488190a5a71e25c075e9ff completed May 3, 2026, 12:54 a.m.
NED2 Entity disambiguation (via description) batch_69f69d845a9081909b40562825c1c500 completed May 3, 2026, 12:57 a.m.
Created at: April 9, 2026, 5:38 p.m.