Triple

T18003431
Position Surface form Disambiguated ID Type / Status
Subject Arviat E430683 entity
Predicate airportIATAcode P418 FINISHED
Object YEK
YEK is the IATA airport code for the small regional airport serving the hamlet of Arviat in Nunavut, Canada.
E1300318 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: YEK | Statement: [Arviat, airportIATAcode, YEK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YEK
Context triple: [Arviat, airportIATAcode, YEK]
  • A. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • B. Yekkes
    Yekkes are German-speaking Jewish immigrants, particularly those who settled in pre-state Israel and were known for their European cultural influence, punctuality, and emphasis on order and education.
  • C. Yekini
    Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
  • D. Eke
    Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
  • E. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • 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: YEK
Triple: [Arviat, airportIATAcode, YEK]
Generated description
YEK is the IATA airport code for the small regional airport serving the hamlet of Arviat in Nunavut, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YEK
Target entity description: YEK is the IATA airport code for the small regional airport serving the hamlet of Arviat in Nunavut, Canada.
  • A. EYKA
    EYKA is the ICAO airport code for Kaunas Airport, an international airport serving the city of Kaunas in Lithuania.
  • B. Yekkes
    Yekkes are German-speaking Jewish immigrants, particularly those who settled in pre-state Israel and were known for their European cultural influence, punctuality, and emphasis on order and education.
  • C. Yekini
    Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
  • D. Eke
    Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
  • E. JEK
    JEK is the station code for Jenkintown–Wyncote, a major SEPTA Regional Rail hub in the northern suburbs of Philadelphia.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b3ea60608190b977644e946407b7 completed April 19, 2026, 10:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337b6b7e48190a649dda888450b2d completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a033ca755e08190aa5003164b49f196 completed May 12, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_6a033d7a601c8190a4746adfdfffbca8 completed May 12, 2026, 2:47 p.m.
Created at: April 10, 2026, 10:23 a.m.