Triple

T6520750
Position Surface form Disambiguated ID Type / Status
Subject Tottenham Court Road station E148373 entity
Predicate hasStationCode P1289 FINISHED
Object TCR
TCR is the three-letter National Rail and London Underground station code used to identify Tottenham Court Road station in London.
E601406 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: TCR | Statement: [Tottenham Court Road station, hasStationCode, TCR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCR
Context triple: [Tottenham Court Road station, hasStationCode, TCR]
  • A. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • B. 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.
  • C. TC
    TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
  • D. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • E. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • 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: TCR
Triple: [Tottenham Court Road station, hasStationCode, TCR]
Generated description
TCR is the three-letter National Rail and London Underground station code used to identify Tottenham Court Road station in London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TCR
Target entity description: TCR is the three-letter National Rail and London Underground station code used to identify Tottenham Court Road station in London.
  • A. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • B. 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.
  • C. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9431f081909b14b3df3414a55f completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb6f934481908a95d7424aa23414 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd88f66c81909b364a816aeee8bf completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce3a53cc8190a40d696a22ec65f4 completed March 27, 2026, 6:36 p.m.
Created at: March 27, 2026, 1:45 p.m.