Triple

T24902701
Position Surface form Disambiguated ID Type / Status
Subject ATP Rankings E623621 entity
Predicate hasSpecialList P159700 FINISHED
Object ATP Race to Turin
The ATP Race to Turin is a season-long points leaderboard in men's professional tennis that tracks players' performance to determine qualification for the year-end ATP Finals in Turin.
 E1657271 NE FINISHED

How this triple was built (3 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: ATP Race to Turin | Statement: [ATP Rankings, hasSpecialList, ATP Race to Turin]
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: ATP Race to Turin
Triple: [ATP Rankings, hasSpecialList, ATP Race to Turin]
Generated description
The ATP Race to Turin is a season-long points leaderboard in men's professional tennis that tracks players' performance to determine qualification for the year-end ATP Finals in Turin.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSpecialList
Context triple: [ATP Rankings, hasSpecialList, ATP Race to Turin]
  • A. hasSpecialistLists
    Indicates that an entity maintains or is associated with one or more curated lists of specialists or specialized items.
  • B. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • C. hasSpecials
    Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
  • D. hasNumberOfSpecials
    Indicates that an entity is associated with a specific count of special items, features, or occurrences.
  • E. hasSpecialCategory
    Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
  • F. None of above. chosen

Provenance (7 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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f5f7a205688190b8f36bff5013247c completed May 2, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1033263a58819087885c25e94299bf completed May 22, 2026, 10:42 a.m.
NEDg Description generation batch_6a10341e764c819083c10e4d151da1c6 completed May 22, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a1034cf890881908bd25523cdb83586 completed May 22, 2026, 10:49 a.m.
PD Predicate disambiguation batch_69f5afd5baac8190bb8ed576813c8591 completed May 2, 2026, 8:03 a.m.
PDg Predicate description generation batch_69f5f6b32a8881909baa0db57b80d56a completed May 2, 2026, 1:05 p.m.
Created at: April 18, 2026, 5:27 a.m.