Triple

T23182461
Position Surface form Disambiguated ID Type / Status
Subject Square E579498 entity
Predicate product P490 FINISHED
Object Square Online E579502 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: Square Online | Statement: [Square, product, Square Online]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square Online
Context triple: [Square, product, Square Online]
  • A. Square Online chosen
    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.
  • B. Moonton
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • C. Sky Player
    Sky Player was the earlier online television streaming service from Sky in the UK, later rebranded as Sky Go.
  • D. Fortnite
    Fortnite is a massively popular online battle royale and creative-building video game developed by Epic Games, known for its fast-paced matches, frequent content updates, and widespread esports presence.
  • E. Mineplex
    Mineplex is a once hugely popular Minecraft minigame server network known for its large player base and diverse selection of custom game modes.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f705c14819082c8580a03ed6286 completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30b3e07481908a4867997cbc5588 completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:05 p.m.