Triple

T17989199
Position Surface form Disambiguated ID Type / Status
Subject Lethbridge Airport E430322 entity
Predicate IATA code P2569 FINISHED
Object YQL
YQL is the three-letter IATA airport code for Lethbridge Airport in Alberta, Canada.
E1299791 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: YQL | Statement: [Lethbridge Airport, IATA code, YQL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YQL
Context triple: [Lethbridge Airport, IATA code, YQL]
  • A. OpenSearch
    OpenSearch is an open-source, community-driven search and analytics engine and suite derived from Elasticsearch, used for full-text search, log analytics, and observability at scale.
  • B. Qwant
    Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
  • C. Alexander Search
    Alexander Search is one of Fernando Pessoa’s English-writing heteronyms, used to compose poetry and prose distinct in style and persona from Pessoa himself.
  • D. Bing
    Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
  • E. ADS API
    ADS API is a programmatic interface that allows developers to access and integrate the Astrophysics Data System’s bibliographic and citation data into external applications and workflows.
  • 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: YQL
Triple: [Lethbridge Airport, IATA code, YQL]
Generated description
YQL is the three-letter IATA airport code for Lethbridge Airport in Alberta, Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: YQL
Target entity description: YQL is the three-letter IATA airport code for Lethbridge Airport in Alberta, Canada.
  • A. OpenSearch
    OpenSearch is an open-source, community-driven search and analytics engine and suite derived from Elasticsearch, used for full-text search, log analytics, and observability at scale.
  • B. Qwant
    Qwant is a French privacy-focused search engine that emphasizes user anonymity and does not track or profile its users.
  • C. Alexander Search
    Alexander Search is one of Fernando Pessoa’s English-writing heteronyms, used to compose poetry and prose distinct in style and persona from Pessoa himself.
  • D. Bing
    Bing is Microsoft's web search engine that provides internet search, image, video, and mapping services.
  • E. ADS API
    ADS API is a programmatic interface that allows developers to access and integrate the Astrophysics Data System’s bibliographic and citation data into external applications and workflows.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29e47a88190be58b79c73d3e652 completed April 19, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0337acabd481909deced9a61d84ed3 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:23 a.m.