Triple

T6593434
Position Surface form Disambiguated ID Type / Status
Subject Río Gallegos E148417 entity
Predicate airportIATA P418 FINISHED
Object RGL
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
 E607874 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: RGL | Statement: [Río Gallegos, airportIATA, RGL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RGL
Context triple: [Río Gallegos, airportIATA, RGL]
  • A. RGC
    RGC is the commonly used abbreviation for the Romanian Greek Catholic Church, an Eastern Catholic Church of the Byzantine Rite in full communion with the Roman Catholic Church.
  • B. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • C. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • D. KGL
    KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
  • E. RIG
    RIG is the standard abbreviation used for the Latvian professional ice hockey club Dinamo Riga.
  • 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: RGL
Triple: [Río Gallegos, airportIATA, RGL]
Generated description
RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RGL
Target entity description: RGL is the IATA airport code for Piloto Civil Norberto Fernández International Airport serving Río Gallegos in southern Argentina.
  • A. RGC
    RGC is the commonly used abbreviation for the Romanian Greek Catholic Church, an Eastern Catholic Church of the Byzantine Rite in full communion with the Roman Catholic Church.
  • B. RGC
    RGC was the stock ticker symbol for Regal Entertainment Group, a major American movie theater chain operator.
  • C. RGK
    RGK is the commonly used abbreviation for the Ryukyu Golden Kings, a professional basketball team based in Okinawa, Japan.
  • D. KGL
    KGL is the IATA airport code for Kigali International Airport, the main air gateway to Rwanda’s capital city.
  • E. RIG
    RIG is the standard abbreviation used for the Latvian professional ice hockey club Dinamo Riga.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aecf50ac81909cb9960c8265a7ea completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42d6ba08190beccfad588594780 completed March 27, 2026, 8:10 p.m.
NEDg Description generation batch_69c6e7c75140819082a32e4662e0b07c completed March 27, 2026, 8:25 p.m.
NED2 Entity disambiguation (via description) batch_69c6e8881b848190bd6184aeaf311d24 completed March 27, 2026, 8:28 p.m.
Created at: March 27, 2026, 1:55 p.m.