Triple

T19635488
Position Surface form Disambiguated ID Type / Status
Subject Hall Beach E471383 entity
Predicate airportIATACode P418 FINISHED
Object YUX
YUX is the IATA airport code for Hall Beach Airport, a small airport serving the remote community of Hall Beach in Nunavut, Canada.
E1386846 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: YUX | Statement: [Hall Beach, airportIATACode, YUX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YUX
Context triple: [Hall Beach, airportIATACode, YUX]
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • C. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • E. YXS
    YXS is the IATA airport code for Prince George Airport, a regional air transport hub serving Prince George in central British Columbia, Canada.
  • 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: YUX
Triple: [Hall Beach, airportIATACode, YUX]
Generated description
YUX is the IATA airport code for Hall Beach Airport, a small airport serving the remote community of Hall Beach in Nunavut, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YUX
Target entity description: YUX is the IATA airport code for Hall Beach Airport, a small airport serving the remote community of Hall Beach in Nunavut, Canada.
  • A. YXU
    YXU is the IATA airport code for London International Airport serving London, Ontario, Canada.
  • B. XU
    XU was a clandestine Norwegian intelligence organization that gathered and transmitted vital information to the Allies during the German occupation in World War II.
  • C. XU
    XU is the IATA airline designator assigned to African Express Airways, a regional carrier based in Kenya.
  • D. YX
    YX is the IATA airline designator used by Republic Airways, a major U.S. regional airline operating flights on behalf of larger carriers.
  • E. YXS
    YXS is the IATA airport code for Prince George Airport, a regional air transport hub serving Prince George in central British Columbia, Canada.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64105f44081909c62341bace91972 completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0771c65a348190b4604714f5e242f2 completed May 15, 2026, 7:19 p.m.
NEDg Description generation batch_6a07765e8e0481908f094b3fe8dab4b2 completed May 15, 2026, 7:39 p.m.
NED2 Entity disambiguation (via description) batch_6a077722827c81908289af6529ca5ce6 completed May 15, 2026, 7:42 p.m.
Created at: April 10, 2026, 1:44 p.m.