Triple

T18112285
Position Surface form Disambiguated ID Type / Status
Subject Doctor Fernando Piragine Niveyro International Airport E433508 entity
Predicate ICAOcode P419 FINISHED
Object SARC
SARC is the ICAO airport code for Doctor Fernando Piragine Niveyro International Airport in Corrientes, Argentina.
E1307257 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: SARC | Statement: [Doctor Fernando Piragine Niveyro International Airport, ICAOcode, SARC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SARC
Context triple: [Doctor Fernando Piragine Niveyro International Airport, ICAOcode, SARC]
  • A. SARC
    SARC is a leading interdisciplinary research center at Queen’s University Belfast focused on innovation in sound, music technology, and sonic arts.
  • B. Sarca
    The Sarca is a river in northern Italy that flows through the Trentino region and ultimately feeds into Lake Garda.
  • C. SARCO
    SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
  • D. Sarmast
    Sarmast is an honorific title associated with the renowned Sindhi Sufi poet and mystic Sachal Sarmast.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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: SARC
Triple: [Doctor Fernando Piragine Niveyro International Airport, ICAOcode, SARC]
Generated description
SARC is the ICAO airport code for Doctor Fernando Piragine Niveyro International Airport in Corrientes, Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SARC
Target entity description: SARC is the ICAO airport code for Doctor Fernando Piragine Niveyro International Airport in Corrientes, Argentina.
  • A. SARC
    SARC is a leading interdisciplinary research center at Queen’s University Belfast focused on innovation in sound, music technology, and sonic arts.
  • B. Sarca
    The Sarca is a river in northern Italy that flows through the Trentino region and ultimately feeds into Lake Garda.
  • C. SARCO
    SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
  • D. Sarmast
    Sarmast is an honorific title associated with the renowned Sindhi Sufi poet and mystic Sachal Sarmast.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3422c81908396a21bd53f3e47 completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a037c3b95b481909fe58450f007544e completed May 12, 2026, 7:15 p.m.
NEDg Description generation batch_6a037db328b08190b003da3980076ecf completed May 12, 2026, 7:21 p.m.
NED2 Entity disambiguation (via description) batch_6a037e99ae98819087afa088fb42e847 completed May 12, 2026, 7:25 p.m.
Created at: April 10, 2026, 10:28 a.m.