Triple

T6547463
Position Surface form Disambiguated ID Type / Status
Subject Liguilla E151045 entity
Predicate hasSeedingBasedOn P3620 FINISHED
Object regular season standings 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: regular season standings | Statement: [Liguilla, hasSeedingBasedOn, regular season standings]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeedingBasedOn
Context triple: [Liguilla, hasSeedingBasedOn, regular season standings]
  • A. hasSeeding
    Indicates that an entity is assigned or associated with a specific seeding position or rank, typically for ordering or placement in a competitive or structured context.
  • B. hasSeed
    Indicates that one entity contains, produces, or is characterized by the presence of a seed associated with another entity.
  • C. usesSeeding chosen
    Indicates that an entity employs a seeding process or strategy to initiate, distribute, or propagate something (such as data, content, or resources).
  • D. hasSeedingRange
    Indicates the range or interval of seed positions or rankings within which something is assigned or considered.
  • E. hasSeedCount
    Indicates that an entity possesses a specific number of seeds.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:50 p.m.