Triple

T7302093
Position Surface form Disambiguated ID Type / Status
Subject City Thameslink E167881 entity
Predicate stationCode P1289 FINISHED
Object CTK
CTK is the National Rail station code for City Thameslink, a central London railway station on the Thameslink route.
E654859 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: CTK | Statement: [City Thameslink, stationCode, CTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTK
Context triple: [City Thameslink, stationCode, CTK]
  • A. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • B. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • C. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • D. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • E. TC
    TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in 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: CTK
Triple: [City Thameslink, stationCode, CTK]
Generated description
CTK is the National Rail station code for City Thameslink, a central London railway station on the Thameslink route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CTK
Target entity description: CTK is the National Rail station code for City Thameslink, a central London railway station on the Thameslink route.
  • A. CK
    CK is a 1988 studio album by American singer Chaka Khan that blends R&B, funk, and pop with contemporary production.
  • B. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • C. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • D. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • E. TC
    TC is the commonly used abbreviation for Portugal’s Constitutional Court, the supreme body responsible for reviewing the constitutionality of laws and ensuring compliance with the Portuguese Constitution.
  • 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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebb09164819099c4479d48c1688a completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e558098c819091562566c59332e2 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e6671e2c8190aed42aa673540efa completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6cd820881909ef8fd3bc28d2716 completed March 28, 2026, 2:33 p.m.
Created at: March 27, 2026, 3:01 p.m.