Triple

T7087750
Position Surface form Disambiguated ID Type / Status
Subject Discord E165119 entity
Predicate supportsIntegration P203 FINISHED
Object Steam E165120 NE 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: Steam | Statement: [Discord, supportsIntegration, Steam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steam
Context triple: [Discord, supportsIntegration, Steam]
  • A. Steam
    "Steam" is a 1992 funk-infused pop rock song by Peter Gabriel, known for its energetic sound and inventive, visually striking music video.
  • B. Steam chosen
    Steam is a leading digital distribution platform and community hub for PC gaming, developed by Valve Corporation.
  • C. GOG
    GOG is the London Stock Exchange ticker symbol for The Go-Ahead Group, a major UK-based public transport operator running bus and rail services.
  • D. Square Online
    Square Online is an e-commerce platform that enables businesses to easily create and manage online stores integrated with Square’s payment and point-of-sale ecosystem.
  • E. The Game Market
    The Game Market is a 17th-century still-life painting by Flemish Baroque artist Frans Snyders, depicting an abundant and detailed display of game animals in a bustling market scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c6887d98408190912b9580666b0c1d completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e52d26f08190917e5e13b181bdae completed March 27, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c794888abc8190ada2ae826449745a completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:41 p.m.