Triple

T9962620
Position Surface form Disambiguated ID Type / Status
Subject WTA 500 tournaments E195603 entity
Predicate categoryAppliesTo P1129 FINISHED
Object main-draw events LITERAL FINISHED

How this triple was built (2 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-draw events | Statement: [WTA 500 tournaments, categoryAppliesTo, main-draw events]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: categoryAppliesTo
Context triple: [WTA 500 tournaments, categoryAppliesTo, main-draw events]
  • A. appliesTo chosen
    Indicates that something is relevant, valid, or has effect in relation to a particular entity, case, or context.
  • B. nameAppliesTo
    Indicates that a particular name is assigned to, or valid for use with, a specific entity.
  • C. appliesToProductType
    Indicates that something (such as a rule, offer, or condition) is relevant or applicable specifically to a certain type or category of product.
  • D. appliesVia
    Indicates that an action, rule, or effect is carried out, implemented, or achieved through a specified method, medium, or mechanism.
  • E. appliesAlsoTo
    Indicates that a condition, rule, or characteristic that applies to one entity is additionally applicable to another entity.
  • F. None of above.

Provenance (3 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb718cd588190a4aac48220deddec completed April 2, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69cd1d9ae19c819099fb3635e57c79be completed April 1, 2026, 1:28 p.m.
Created at: March 30, 2026, 8:47 p.m.