Triple

T20762300
Position Surface form Disambiguated ID Type / Status
Subject Scrabble (in North America) E511002 entity
Predicate basedOn P98 FINISHED
Object Scrabble 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: Scrabble | Statement: [Scrabble (in North America), basedOn, Scrabble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scrabble
Context triple: [Scrabble (in North America), basedOn, Scrabble]
  • A. Scrabble
    Scrabble is a small unincorporated community located in Berkeley County, West Virginia, known for its rural character and historic charm.
  • B. Scrabble (in North America) chosen
    Scrabble (in North America) is the regional version of the classic word-based board game in which players score points by forming interlocking words from letter tiles on a game board.
  • C. Scrabble (US game show)
    Scrabble (US game show) was an American television game show, based on the classic word board game, in which contestants formed words and solved word puzzles for cash and prizes.
  • D. Words With Friends
    Words With Friends is a popular multiplayer word game app similar to Scrabble, known for its social gameplay and widespread use on mobile devices.
  • E. Scramble Board
    Scramble Board was a popular recurring word-guessing game segment on the television music and dance show "Soul Train."
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2493a188190a336a35ea134e5f7 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:35 p.m.