Triple

T5639146
Position Surface form Disambiguated ID Type / Status
Subject San Carlos de Bariloche Airport E124221 entity
Predicate hasICAOCode P419 FINISHED
Object SAZS
SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
 E535159 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: SAZS | Statement: [San Carlos de Bariloche Airport, hasICAOCode, SAZS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SAZS
Context triple: [San Carlos de Bariloche Airport, hasICAOCode, SAZS]
  • A. SAEZ
    SAEZ is the ICAO airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. ASDZ
    ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • 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: SAZS
Triple: [San Carlos de Bariloche Airport, hasICAOCode, SAZS]
Generated description
SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SAZS
Target entity description: SAZS is the ICAO airport code for San Carlos de Bariloche Airport, a major gateway to the Patagonia region of Argentina.
  • A. SAEZ
    SAEZ is the ICAO airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • B. ZAZ
    ZAZ is the IATA airport code for Zaragoza Airport, a major civilian and military airfield serving the city of Zaragoza in northeastern Spain.
  • C. ASDZ
    ASDZ is the station code used to identify Amsterdam Zuid railway station in the Netherlands.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. SA6
    SA6 is a 3GPP working group responsible for standardizing mission-critical and application-layer services in mobile communication systems.
  • 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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02283bb248190b29ac6255c78c5ec completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d7456408190962c476f2848927e completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04edaa7408190811007d27549a35d completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ff40ce88190a9aa8886c22386e1 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:41 p.m.