Triple

T3147955
Position Surface form Disambiguated ID Type / Status
Subject World Snooker Tour E65807 entity
Predicate replaced P101 FINISHED
Object Main Tour
Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
 E331142 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: Main Tour | Statement: [World Snooker Tour, replaced, Main Tour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Main Tour
Context triple: [World Snooker Tour, replaced, Main Tour]
  • A. Tour First
    Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
  • B. Btourram
    Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
  • C. Tours
    Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
  • D. Tour Total
    Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
  • E. Tours station
    Tours station is the main railway station serving the city of Tours in central France, acting as a regional and intercity transport hub.
  • 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: Main Tour
Triple: [World Snooker Tour, replaced, Main Tour]
Generated description
Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Main Tour
Target entity description: Main Tour was the former primary professional snooker circuit that preceded and was later superseded by the World Snooker Tour.
  • A. Tour First
    Tour First is a prominent skyscraper in the La Défense business district of Paris, known as one of the tallest office towers in France.
  • B. Btourram
    Btourram is a village in northern Lebanon, known as the birthplace of Lebanese philosopher and diplomat Charles Malik.
  • C. Tours
    Tours is a historic city in central France’s Loire Valley, known for its medieval old town, proximity to famous châteaux, and role as a regional transport and cultural hub.
  • D. Tour Total
    Tour Total is a prominent skyscraper and major office tower in the La Défense business district near Paris, serving as a key part of the area’s modern skyline.
  • E. Tours station
    Tours station is the main railway station serving the city of Tours in central France, acting as a regional and intercity transport hub.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224f53bbc81908416272cd48af69e completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225896c4c81909e875a2d357e7bc5 completed March 12, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69b225fef06081908dcd8201def1ad95 completed March 12, 2026, 2:33 a.m.
Created at: March 8, 2026, 3:05 p.m.