Triple

T554200
Position Surface form Disambiguated ID Type / Status
Subject Thursday Night Football E11905 entity
Predicate typicalRegionRights P16304 FINISHED
Object United States national 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: United States national | Statement: [Thursday Night Football, typicalRegionRights, United States national]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalRegionRights
Context triple: [Thursday Night Football, typicalRegionRights, United States national]
  • A. regionException
    Indicates an exception or exclusion to a rule, condition, or classification that applies specifically to a certain region or set of regions.
  • B. regionType
    Indicates the classification or category of a region, specifying what kind of region it is (e.g., administrative, geographic, or functional).
  • C. hasRegion
    Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
  • D. usedInRegion
    Indicates that something is utilized or applied within a specific geographic or administrative region.
  • E. supportsRegion
    Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
  • F. None of above. chosen

Provenance (4 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991c524481908b2bb88c4feabec6 completed March 1, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69a494bc1f8c8190904356f3a8e801de completed March 1, 2026, 7:34 p.m.
PDg Predicate description generation batch_69a4985952a481908b918350ececf484 completed March 1, 2026, 7:49 p.m.
Created at: March 1, 2026, 7:32 p.m.