Triple

T23182613
Position Surface form Disambiguated ID Type / Status
Subject Square Terminal E579501 entity
Predicate operatingSystem P1593 FINISHED
Object Square POS software 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 POS software | Statement: [Square Terminal, operatingSystem, Square POS software]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square POS software
Context triple: [Square Terminal, operatingSystem, Square POS software]
  • A. POSOCO
    POSOCO is India’s state-owned company responsible for overseeing the reliable and secure operation of the national electricity grid and power system.
  • B. Square Payroll chosen
    Square Payroll is a cloud-based payroll service designed for small and medium-sized businesses to manage employee and contractor payments, tax filings, and compliance.
  • C. Ingenico
    Ingenico is a global provider of payment terminals and payment services, widely used by merchants for secure electronic transactions.
  • D. Square Biz
    "Square Biz" is a 1981 funk and R&B hit by Teena Marie known for its catchy groove and early blend of singing with rap-style verses.
  • E. Optoro
    Optoro is a technology company that provides software and services to help retailers and brands manage, resell, and recycle returned and excess inventory more efficiently.
  • 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.