Triple

T9172000
Position Surface form Disambiguated ID Type / Status
Subject La Gomera Airport E220102 entity
Predicate IATAcode P418 FINISHED
Object GMZ
GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
 E781613 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: GMZ | Statement: [La Gomera Airport, IATAcode, GMZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: GMZ
Context triple: [La Gomera Airport, IATAcode, GMZ]
  • A. 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.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. FGZ
    FGZ is the FAA location identifier assigned to Sabre Army Heliport, a U.S. Army helicopter facility.
  • 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: GMZ
Triple: [La Gomera Airport, IATAcode, GMZ]
Generated description
GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: GMZ
Target entity description: GMZ is the IATA airport code for La Gomera Airport, which serves the island of La Gomera in Spain’s Canary Islands.
  • A. 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.
  • B. GZP
    GZP is the ICAO airline designator assigned to Gazpromavia, the Russian airline owned by the energy company Gazprom.
  • C. GZ
    GZ is the vehicle registration code used on license plates for the district of Günzburg in Bavaria, Germany.
  • D. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • E. FGZ
    FGZ is the FAA location identifier assigned to Sabre Army Heliport, a U.S. Army helicopter facility.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbf9fe79c819082f335c2fdd1c7d3 completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
NEDg Description generation batch_69d0553c2b58819086a651863f884064 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d0562e41bc8190801c75e962600df2 completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:22 p.m.