Triple

T6435304
Position Surface form Disambiguated ID Type / Status
Subject Concur Technologies E129879 entity
Predicate product P490 FINISHED
Object Concur Expense E129879 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: Concur Expense | Statement: [Concur Technologies, product, Concur Expense]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concur Expense
Context triple: [Concur Technologies, product, Concur Expense]
  • A. Concur Technologies chosen
    Concur Technologies is a software company best known for its cloud-based travel and expense management solutions used by businesses worldwide.
  • B. Paychex
    Paychex is a leading American provider of payroll, human resources, and benefits outsourcing services for small to mid-sized businesses.
  • C. Xero
    Xero was the original name of the American rock band Linkin Park during its early formation in the mid-1990s.
  • D. Xero
    Xero is a New Zealand–based cloud accounting software company that provides online bookkeeping and financial management tools for small and medium-sized businesses.
  • E. Intuit
    Intuit is an American financial software company best known for products like TurboTax, QuickBooks, and Mint that help individuals and small businesses manage taxes, accounting, and personal finance.
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c069415c3c8190b91bd12ae79edd26 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640efd490819084b3b67b3b0680b6 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.