Triple

T9703351
Position Surface form Disambiguated ID Type / Status
Subject Norman Wells E234832 entity
Predicate airportIATA P418 FINISHED
Object YVQ
YVQ is the IATA airport code for Norman Wells Airport, a regional airport serving the community of Norman Wells in the Northwest Territories, Canada.
 E815448 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: YVQ | Statement: [Norman Wells, airportIATA, YVQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: YVQ
Context triple: [Norman Wells, airportIATA, YVQ]
  • A. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • B. VYYY
    VYYY is the ICAO airport code designating Yangon International Airport in Myanmar.
  • C. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • D. VY
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • E. YQG
    YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding 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: YVQ
Triple: [Norman Wells, airportIATA, YVQ]
Generated description
YVQ is the IATA airport code for Norman Wells Airport, a regional airport serving the community of Norman Wells in the Northwest Territories, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: YVQ
Target entity description: YVQ is the IATA airport code for Norman Wells Airport, a regional airport serving the community of Norman Wells in the Northwest Territories, Canada.
  • A. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • B. VYYY
    VYYY is the ICAO airport code designating Yangon International Airport in Myanmar.
  • C. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • D. VY
    VY is the IATA airline designator assigned to Vueling, a Spanish low-cost carrier based in Barcelona.
  • E. YQG
    YQG is the IATA airport code for Windsor International Airport, a commercial airport serving Windsor, Ontario, Canada and the surrounding 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d73a0148190ad4178fd462cdd9c completed April 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19132687c8190baf3a60af1b789a8 completed April 4, 2026, 10:31 p.m.
NEDg Description generation batch_69d193150c00819080ed0fbb050b60bf completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d19416efd48190865d0178e5e893fa completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:18 p.m.