Triple

T7586145
Position Surface form Disambiguated ID Type / Status
Subject Churchill Falls Airport E179616 entity
Predicate ICAO code P419 FINISHED
Object CZUM
CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
 E675627 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: CZUM | Statement: [Churchill Falls Airport, ICAO code, CZUM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CZUM
Context triple: [Churchill Falls Airport, ICAO code, CZUM]
  • A. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • B. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • C. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • D. CZR
    CZR is the stock ticker symbol for Caesars Entertainment, Inc., a major U.S. casino and resort operator.
  • E. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • 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: CZUM
Triple: [Churchill Falls Airport, ICAO code, CZUM]
Generated description
CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CZUM
Target entity description: CZUM is the ICAO airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • A. CZM
    CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • B. Züm
    Züm is Brampton Transit's bus rapid transit service that provides faster, limited-stop connections across key corridors in Brampton and the surrounding region.
  • C. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • D. CZR
    CZR is the stock ticker symbol for Caesars Entertainment, Inc., a major U.S. casino and resort operator.
  • E. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f995c8a8819089817bd679640017 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86186ce4481908e528c57cdd07d2d completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86223bfec8190b47f840e39c9a51a completed March 28, 2026, 11:20 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.