Triple

T13282928
Position Surface form Disambiguated ID Type / Status
Subject Torquay railway station E316368 entity
Predicate stationCode P1289 FINISHED
Object TQY
TQY is the National Rail station code for Torquay railway station in Devon, England.
E1030379 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: TQY | Statement: [Torquay railway station, stationCode, TQY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TQY
Context triple: [Torquay railway station, stationCode, TQY]
  • A. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • B. YQX
    YQX is the IATA airport code for Gander International Airport in Newfoundland and Labrador, Canada, a historically important transatlantic aviation hub.
  • C. TQO
    TQO is the IATA airport code for Tulum International Airport, a commercial airport serving the Tulum region in Quintana Roo, Mexico.
  • D. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • E. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • 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: TQY
Triple: [Torquay railway station, stationCode, TQY]
Generated description
TQY is the National Rail station code for Torquay railway station in Devon, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TQY
Target entity description: TQY is the National Rail station code for Torquay railway station in Devon, England.
  • A. TQG
    "TQG" is a 2023 reggaeton-pop collaboration between Shakira and Karol G known for its themes of empowerment and post-breakup resilience.
  • B. YQX
    YQX is the IATA airport code for Gander International Airport in Newfoundland and Labrador, Canada, a historically important transatlantic aviation hub.
  • C. TQO
    TQO is the IATA airport code for Tulum International Airport, a commercial airport serving the Tulum region in Quintana Roo, Mexico.
  • D. YQT
    YQT is the IATA airport code for Thunder Bay International Airport, a regional air transport hub in Thunder Bay, Ontario, Canada.
  • E. YQ
    YQ is a Nigerian hip-hop artist known for his collaborations within the Afrobeats and rap scene, including work with rapper Naeto C.
  • 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99047531c819087aa6406de1ddc82 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a592d748190b55129515f71e979 completed May 3, 2026, 8:42 a.m.
NEDg Description generation batch_69f70b117c588190bb81ff53664cac4a completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70c04da34819091e01db25741674e completed May 3, 2026, 8:49 a.m.
Created at: April 9, 2026, 9:27 p.m.