Triple

T10616248
Position Surface form Disambiguated ID Type / Status
Subject Governor Francisco Gabrielli International Airport E276127 entity
Predicate hasIATAcode P2569 FINISHED
Object MDZ
MDZ is the IATA airport code for Governor Francisco Gabrielli International Airport, the main air gateway to Mendoza, Argentina.
E874942 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: MDZ | Statement: [Governor Francisco Gabrielli International Airport, hasIATAcode, MDZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDZ
Context triple: [Governor Francisco Gabrielli International Airport, hasIATAcode, MDZ]
  • A. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • B. MDV
    MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
  • C. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • D. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • E. MZ
    MZ is the vehicle registration code for the Mainz region in Germany, which includes Ingelheim am Rhein.
  • 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: MDZ
Triple: [Governor Francisco Gabrielli International Airport, hasIATAcode, MDZ]
Generated description
MDZ is the IATA airport code for Governor Francisco Gabrielli International Airport, the main air gateway to Mendoza, Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MDZ
Target entity description: MDZ is the IATA airport code for Governor Francisco Gabrielli International Airport, the main air gateway to Mendoza, Argentina.
  • A. Muzna
    Muzna was the mother of Abd al-Rahman III, the powerful 10th-century Umayyad ruler who became the first Caliph of Córdoba in al-Andalus.
  • B. MDV
    MDV is a venture capital firm known for investing in early-stage technology and life sciences companies.
  • C. MDV
    MDV is a regional public transport association and fare network serving Leipzig and the surrounding Central German area.
  • D. MZ
    MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
  • E. MZ
    MZ is the vehicle registration code for the Mainz region in Germany, which includes Ingelheim am Rhein.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df6d76dc8190bd8d481fed3225d9 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ecfb9bc81908d8ed054a30be441 completed April 10, 2026, 8:34 p.m.
NEDg Description generation batch_69d960f9b18881909c56f8f3a8499860 completed April 10, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69d9615b821481909e2061739641b114 completed April 10, 2026, 8:45 p.m.
Created at: April 8, 2026, 7:33 p.m.