Triple

T1681719
Position Surface form Disambiguated ID Type / Status
Subject Ministro Pistarini International Airport E36352 entity
Predicate IATAcode P418 FINISHED
Object EZE
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
 E189226 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: EZE | Statement: [Ministro Pistarini International Airport, IATAcode, EZE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EZE
Context triple: [Ministro Pistarini International Airport, IATAcode, EZE]
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • C. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Zeehaen
    Zeehaen was one of the two Dutch East India Company ships in Abel Tasman’s 1642–1643 voyage that led to the first known European contact with New Zealand and parts of Tasmania.
  • 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: EZE
Triple: [Ministro Pistarini International Airport, IATAcode, EZE]
Generated description
EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EZE
Target entity description: EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • A. ZUE
    ZUE is the railway station code for Zürich Hauptbahnhof, Switzerland’s largest and busiest train station and a major European rail hub.
  • B. Enz
    The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
  • C. EZY
    EZY is the ICAO airline designator used for flights operated by the British low-cost carrier easyJet.
  • D. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • E. Zeehaen
    Zeehaen was one of the two Dutch East India Company ships in Abel Tasman’s 1642–1643 voyage that led to the first known European contact with New Zealand and parts of Tasmania.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa627935888190ad793a720bb6cba5 completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad71bf1998819094d3eb67c6e6bafd completed March 8, 2026, 12:55 p.m.
NEDg Description generation batch_69ad7298ee288190b5e2b7d2ccb17a91 completed March 8, 2026, 12:59 p.m.
NED2 Entity disambiguation (via description) batch_69ad7305c7b48190a8a443dbc20ec9b2 completed March 8, 2026, 1 p.m.
Created at: March 4, 2026, 7:29 p.m.