Triple

T6274362
Position Surface form Disambiguated ID Type / Status
Subject Square, Inc. E140618 entity
Predicate alsoKnownAs P39 FINISHED
Object Square
Square is a financial technology company best known for its mobile payment solutions and point-of-sale hardware that enable businesses to accept card payments easily.
 E579498 NE FINISHED

How this triple was built (4 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 | Statement: [Square, Inc., alsoKnownAs, Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Square
Context triple: [Square, Inc., alsoKnownAs, Square]
  • A. Square D
    Square D is a well-known American brand of electrical equipment and circuit protection products, particularly recognized for its circuit breakers, panelboards, and industrial control systems.
  • B. ctangle
    ctangle is a CWEB tool that converts literate CWEB source files into compilable C code by extracting and tangling the program fragments.
  • C. Great Square
    Great Square is the English name for Lille’s historic Grand-Place, the central public square and focal point of the city in northern France.
  • D. Oktogon
    Oktogon is a major octagonal intersection and public square in central Budapest, Hungary, where Andrássy Avenue crosses the Grand Boulevard.
  • E. New Square
    New Square is a historic legal courtyard and set of chambers associated with Lincoln’s Inn in central London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Square
Triple: [Square, Inc., alsoKnownAs, Square]
Generated description
Square is a financial technology company best known for its mobile payment solutions and point-of-sale hardware that enable businesses to accept card payments easily.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Square
Target entity description: Square is a financial technology company best known for its mobile payment solutions and point-of-sale hardware that enable businesses to accept card payments easily.
  • A. Square D
    Square D is a well-known American brand of electrical equipment and circuit protection products, particularly recognized for its circuit breakers, panelboards, and industrial control systems.
  • B. ctangle
    ctangle is a CWEB tool that converts literate CWEB source files into compilable C code by extracting and tangling the program fragments.
  • C. Great Square
    Great Square is the English name for Lille’s historic Grand-Place, the central public square and focal point of the city in northern France.
  • D. Oktogon
    Oktogon is a major octagonal intersection and public square in central Budapest, Hungary, where Andrássy Avenue crosses the Grand Boulevard.
  • E. New Square
    New Square is a historic legal courtyard and set of chambers associated with Lincoln’s Inn in central London.
  • F. None of above. chosen

Provenance (5 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063c0629c8190805ddf1a604e9ca4 completed March 22, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2446eecfc819099c3dc5cdb960672 completed March 24, 2026, 7:59 a.m.
NEDg Description generation batch_69c246ca23148190aa82019d3857f14e completed March 24, 2026, 8:09 a.m.
NED2 Entity disambiguation (via description) batch_69c2475b2ad88190a43db8803c4e7893 completed March 24, 2026, 8:12 a.m.
Created at: March 22, 2026, 4:25 p.m.