Triple

T13686229
Position Surface form Disambiguated ID Type / Status
Subject Sriwijaya Air E328134 entity
Predicate ICAOcode P419 FINISHED
Object SJY
SJY is the ICAO airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
 E1056344 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: SJY | Statement: [Sriwijaya Air, ICAOcode, SJY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SJY
Context triple: [Sriwijaya Air, ICAOcode, SJY]
  • A. SJRY
    SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
  • B. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • C. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • D. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • E. .sj
    .sj is the reserved country code top-level domain designated for Svalbard and Jan Mayen, territories of Norway, which is not actively used for general internet registrations.
  • 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: SJY
Triple: [Sriwijaya Air, ICAOcode, SJY]
Generated description
SJY is the ICAO airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SJY
Target entity description: SJY is the ICAO airline designator assigned to Sriwijaya Air, an Indonesian commercial airline.
  • A. SJRY
    SJRY is the abbreviated name used for the Finnish Ice Hockey Association, the governing body for ice hockey in Finland.
  • B. SJ
    SJ is Sweden’s primary state-owned passenger train operator, running long-distance and regional rail services across the country.
  • C. SJ
    SJ is the vehicle registration code used on license plates for cars registered in Jaworzno, Poland.
  • D. SY
    SY is a UK postcode area covering Shrewsbury and surrounding parts of Shropshire and nearby counties in western England and the Welsh border region.
  • E. .sj
    .sj is the reserved country code top-level domain designated for Svalbard and Jan Mayen, territories of Norway, which is not actively used for general internet registrations.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944765488190a97d2bea8c29e698 completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f7955fce288190a7e426f467517a91 completed May 3, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69f7996cddf08190973e493fb788ce7a completed May 3, 2026, 6:52 p.m.
Created at: April 9, 2026, 9:53 p.m.