Triple

T2652267
Position Surface form Disambiguated ID Type / Status
Subject Hanukkah gelt E53926 entity
Predicate usedInGame P25490 FINISHED
Object dreidel game 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: dreidel game | Statement: [Hanukkah gelt, usedInGame, dreidel game]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedInGame
Context triple: [Hanukkah gelt, usedInGame, dreidel game]
  • A. areUsedIn chosen
    Indicates that certain entities serve as components, tools, or resources within a particular process, context, or application.
  • B. playInGameIntroduced
    Indicates that an entity participates as a playable element within the specific game in which it was first introduced.
  • C. usedInBattle
    Indicates that something (typically a tool, strategy, or resource) was employed or applied during a battle or combat situation.
  • D. usedInLeague
    Indicates that an entity (such as a team, player, or item) participates or is employed within a particular league.
  • E. usedAgainst
    Indicates that one entity is employed, applied, or deployed in opposition to, or for the purpose of affecting, another entity.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abda0ba2208190ad87763ecbef8c3c completed March 7, 2026, 7:55 a.m.
PD Predicate disambiguation batch_69abd815d06481909535c02b0aba8553 completed March 7, 2026, 7:47 a.m.
Created at: March 6, 2026, 9:53 p.m.