Triple

T11542673
Position Surface form Disambiguated ID Type / Status
Subject Quick Play E273710 entity
Predicate hasMatchmaking P43216 FINISHED
Object skill-based matchmaking 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: skill-based matchmaking | Statement: [Quick Play, hasMatchmaking, skill-based matchmaking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMatchmaking
Context triple: [Quick Play, hasMatchmaking, skill-based matchmaking]
  • A. hasLobby
    Indicates that an entity includes or is equipped with a lobby area as part of its premises or structure.
  • B. matchOf
    Indicates that one entity is a specific match, counterpart, or corresponding instance of another entity within a defined context or set.
  • C. hasMultiplayer chosen
    Indicates that an entity (such as a game or application) supports a mode where multiple users can participate or interact simultaneously.
  • D. hasPlayer
    Indicates that an entity (such as a team, game, or roster) includes or is associated with a specific player.
  • E. canJoin
    Indicates that one entity is permitted or able to become a member or participant in another entity or group.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d886e09eec8190894069d86b79183d completed April 10, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69d80879fdb48190be6dacc8aa63c809 completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:37 p.m.