Triple

T18999802
Position Surface form Disambiguated ID Type / Status
Subject 1975 NFL season E464917 entity
Predicate introducedSeedingByRecord P11653 FINISHED
Object true 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: true | Statement: [1975 NFL season, introducedSeedingByRecord, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedSeedingByRecord
Context triple: [1975 NFL season, introducedSeedingByRecord, true]
  • A. usesSeeding
    Indicates that an entity employs a seeding process or strategy to initiate, distribute, or propagate something (such as data, content, or resources).
  • B. 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.
  • C. determinesSeedingFor chosen
    Indicates that one entity is used to decide or assign the ranking, placement, or initial position (seeding) of another entity within a structured order or competition.
  • D. hasSeed
    Indicates that one entity contains, produces, or is characterized by the presence of a seed associated with another entity.
  • E. seedUse
    Indicates the use or application of seeds for a particular purpose, such as planting, cultivation, or propagation.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d684d37c8190b975f04a47fa7b92 completed April 20, 2026, 7:32 a.m.
PD Predicate disambiguation batch_69e4a2f88e0c81908cb20f08bf24cd32 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 12:01 p.m.