Triple

T20193741
Position Surface form Disambiguated ID Type / Status
Subject Community Day (Pokémon GO) E493031 entity
Predicate publisher P29 FINISHED
Object Niantic NE NERFINISHED

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: Niantic | Statement: [Community Day (Pokémon GO), publisher, Niantic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niantic
Context triple: [Community Day (Pokémon GO), publisher, Niantic]
  • A. Niantic
    The Niantic are a Native American people of the Northeastern Woodlands, historically living along the southern New England coast near present-day Rhode Island and Connecticut.
  • B. Niantic chosen
    Niantic is an American software and game development company best known for creating the augmented reality mobile game Pokémon GO.
  • C. Niantic people
    The Niantic people are an Indigenous Native American tribe of the Northeastern Woodlands, historically located in what is now coastal Rhode Island and Connecticut.
  • D. The Pokémon Company
    The Pokémon Company is a Japanese consortium that manages the Pokémon franchise’s brand, licensing, and media across games, merchandise, and entertainment worldwide.
  • E. Pokémon GO
    Pokémon GO is a mobile augmented reality game that lets players find, catch, and battle virtual Pokémon in real-world locations using their smartphones.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad7270081908ed8513a8363e9b1 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.