Triple

T9874420
Position Surface form Disambiguated ID Type / Status
Subject Cottingley railway station E240037 entity
Predicate hasStationCode P1289 FINISHED
Object COT
COT is the National Rail station code for Cottingley railway station in West Yorkshire, England.
E826669 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: COT | Statement: [Cottingley railway station, hasStationCode, COT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: COT
Context triple: [Cottingley railway station, hasStationCode, COT]
  • A. COT
    COT is the standard time observed in Colombia, corresponding to UTC−05:00 without daylight saving time.
  • B. COTED
    COTED is a principal organ of the Caribbean Community (CARICOM) responsible for promoting trade, economic integration, and development among its member states.
  • C. COK
    COK is the abbreviation commonly used for the National Olympic Committee of Montenegro, the body responsible for organizing the country’s participation in the Olympic Games.
  • D. COK
    COK is the IATA airport code for Cochin International Airport, a major international aviation hub serving Kochi in the Indian state of Kerala.
  • E. CO-TOL
    CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
  • 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: COT
Triple: [Cottingley railway station, hasStationCode, COT]
Generated description
COT is the National Rail station code for Cottingley railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: COT
Target entity description: COT is the National Rail station code for Cottingley railway station in West Yorkshire, England.
  • A. COT
    COT is the standard time observed in Colombia, corresponding to UTC−05:00 without daylight saving time.
  • B. COTED
    COTED is a principal organ of the Caribbean Community (CARICOM) responsible for promoting trade, economic integration, and development among its member states.
  • C. COK
    COK is the abbreviation commonly used for the National Olympic Committee of Montenegro, the body responsible for organizing the country’s participation in the Olympic Games.
  • D. COK
    COK is the IATA airport code for Cochin International Airport, a major international aviation hub serving Kochi in the Indian state of Kerala.
  • E. CO-TOL
    CO-TOL is the ISO 3166-2 code that uniquely identifies Colombia’s Tolima Department in international and administrative contexts.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3f89fa081908b58956902c193cf completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e47515788190b6644021e187e771 completed April 5, 2026, 4:26 a.m.
NEDg Description generation batch_69d1e57366748190bf617374264d1873 completed April 5, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69d1e5ed9818819095119c3478f97419 completed April 5, 2026, 4:32 a.m.
Created at: March 30, 2026, 8:37 p.m.