Triple

T17622788
Position Surface form Disambiguated ID Type / Status
Subject Resistencia E429751 entity
Predicate hasAirportIATAcode P2569 FINISHED
Object RES
RES is the IATA airport code for Resistencia International Airport serving the city of Resistencia in Argentina.
E1280003 NE FINISHED

How this triple was built (5 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: RES | Statement: [Resistencia, hasAirportIATAcode, RES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RES
Context triple: [Resistencia, hasAirportIATAcode, RES]
  • A. RES
    RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE
    RE is the two-letter ISO 3166-1 alpha-2 country code assigned to the French overseas department and region of Réunion.
  • D. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • E. RE
    RE is the commonly used abbreviation for Rugby Europe, the governing body for rugby union in Europe.
  • 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: RES
Triple: [Resistencia, hasAirportIATAcode, RES]
Generated description
RES is the IATA airport code for Resistencia International Airport serving the city of Resistencia in Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: RES
Target entity description: RES is the IATA airport code for Resistencia International Airport serving the city of Resistencia in Argentina.
  • A. RES
    RES is the abbreviation for Rail Express Systems, a former British Rail sector that specialized in high-speed mail and parcels services.
  • B. RE
    RE is the common abbreviation for the British Army’s Corps of Royal Engineers, responsible for military engineering and technical support.
  • C. RE
    RE is a centrist, pro-European French political party founded by Emmanuel Macron and formerly known as La République En Marche!.
  • D. RE
    RE is the vehicle registration code used for the city of Recklinghausen in Germany.
  • E. RE
    RE is a vehicle registration code used in parts of Austria, including the area around Ehrwald.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAirportIATAcode
Context triple: [Resistencia, hasAirportIATAcode, RES]
  • A. hasIATAcode chosen
    Indicates that an entity, typically a transportation facility like an airport, is associated with a specific IATA (International Air Transport Association) code.
  • B. IATAcode
    Indicates the three-letter IATA airport or airline code assigned to the entity.
  • C. ICAOcode
    Indicates that an entity is identified by a specific four-letter airport or aerodrome code assigned by the International Civil Aviation Organization (ICAO).
  • D. hasAirportCodeCity
    Indicates that a city is associated with a specific airport code (such as an IATA or ICAO code) that identifies its airport.
  • E. hasAirportCodeType
    Indicates that an airport code is associated with a specific classification or type (e.g., IATA, ICAO, FAA).
  • F. None of above.

Provenance (6 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46dba664c81909dcaf44779db5565 completed April 19, 2026, 5:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a020a9714e081909283b932dc5d9301 completed May 11, 2026, 4:57 p.m.
NEDg Description generation batch_6a020b81c0e88190af61ea1a3b89fe8a completed May 11, 2026, 5:01 p.m.
NED2 Entity disambiguation (via description) batch_6a020cc2de908190ae82be94c0d9c1a0 completed May 11, 2026, 5:07 p.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:52 a.m.