Triple

T14010919
Position Surface form Disambiguated ID Type / Status
Subject Sauce Viejo Airport E337075 entity
Predicate ICAOcode P419 FINISHED
Object SAAV
SAAV is the ICAO airport code for Sauce Viejo Airport, which serves the Santa Fe region in Argentina.
E1073925 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: SAAV | Statement: [Sauce Viejo Airport, ICAOcode, SAAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAAV
Context triple: [Sauce Viejo Airport, ICAOcode, SAAV]
  • A. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • B. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAAWK
    SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
  • E. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • 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: SAAV
Triple: [Sauce Viejo Airport, ICAOcode, SAAV]
Generated description
SAAV is the ICAO airport code for Sauce Viejo Airport, which serves the Santa Fe region in Argentina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAAV
Target entity description: SAAV is the ICAO airport code for Sauce Viejo Airport, which serves the Santa Fe region in Argentina.
  • A. SAA
    SAA is the National Rail station code for St Albans Abbey railway station in Hertfordshire, England.
  • B. SAA
    SAA is the ICAO airline designator for South African Airways, the flag carrier airline of South Africa.
  • C. SAA
    The SAA is the main military force of the Syrian Arab Republic, responsible for land-based defense and combat operations.
  • D. SAAWK
    SAAWK is the abbreviation for the Suid-Afrikaanse Akademie vir Wetenskap en Kuns, a South African academy dedicated to promoting Afrikaans language, science, and the arts.
  • E. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae6691b48190a0affc662cbb2d4e completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.