Triple

T23182540
Position Surface form Disambiguated ID Type / Status
Subject Square Stand E579500 entity
Predicate developer P73 FINISHED
Object Square, Inc. 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: Square, Inc. | Statement: [Square Stand, developer, Square, Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square, Inc.
Context triple: [Square Stand, developer, Square, Inc.]
  • A. Square, Inc. chosen
    Square, Inc. is a financial technology company best known for its mobile payment solutions and point-of-sale systems that enable businesses to accept electronic payments easily.
  • B. Microsoft Square
    Microsoft Square was the original name of the entertainment and event plaza now known as Xbox Plaza at L.A. Live in Los Angeles.
  • C. Snap Inc.
    Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
  • D. Pinterest, Inc.
    Pinterest, Inc. is a visual discovery and social media company that operates an image-based platform where users can find, save, and share ideas and inspirations across a wide range of interests.
  • E. Didi Global Inc.
    Didi Global Inc. is a major Chinese ride-hailing and mobility technology company that operates a leading transportation platform offering services such as ride-sharing, taxis, and other on-demand transport solutions.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f705c14819082c8580a03ed6286 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.