Triple

T17943359
Position Surface form Disambiguated ID Type / Status
Subject Yakutia Airlines E448639 entity
Predicate ICAOcode P419 FINISHED
Object SYL
SYL is the ICAO airline designator assigned to Yakutia Airlines, a regional carrier based in the Sakha Republic of Russia.
E1297701 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: SYL | Statement: [Yakutia Airlines, ICAOcode, SYL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SYL
Context triple: [Yakutia Airlines, ICAOcode, SYL]
  • A. SYL
    SYL is the National Rail station code for Syon Lane railway station in west London, England.
  • B. Syl
    Syl is the familiar short form of the name Syl Apps Jr., a Canadian former professional ice hockey player who starred as a center in the NHL during the 1970s.
  • C. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • D. SILE
    SILE is a modern typesetting system and document processor designed as a more flexible, programmable successor to traditional TeX-based workflows.
  • E. 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.
  • 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: SYL
Triple: [Yakutia Airlines, ICAOcode, SYL]
Generated description
SYL is the ICAO airline designator assigned to Yakutia Airlines, a regional carrier based in the Sakha Republic of Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SYL
Target entity description: SYL is the ICAO airline designator assigned to Yakutia Airlines, a regional carrier based in the Sakha Republic of Russia.
  • A. SYL
    SYL is the National Rail station code for Syon Lane railway station in west London, England.
  • B. Syl
    Syl is the familiar short form of the name Syl Apps Jr., a Canadian former professional ice hockey player who starred as a center in the NHL during the 1970s.
  • C. SYR
    SYR is the three-letter ISO 3166-1 alpha-3 country code representing the Middle Eastern nation of Syria.
  • D. SILE
    SILE is a modern typesetting system and document processor designed as a more flexible, programmable successor to traditional TeX-based workflows.
  • E. 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.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad97611c8190a861467ae51f6c48 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a032918b0c481908c6bc336c348032d completed May 12, 2026, 1:20 p.m.
NEDg Description generation batch_6a0329fec9808190abda5e23d83791e5 completed May 12, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_6a032baebc1081908637ab12ba35d973 completed May 12, 2026, 1:31 p.m.
Created at: April 10, 2026, 10:21 a.m.