Triple

T3305375
Position Surface form Disambiguated ID Type / Status
Subject Wilsonville, Oregon E69434 entity
Predicate hasEmployer P7 FINISHED
Object Xerox E71175 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: Xerox | Statement: [Wilsonville, Oregon, hasEmployer, Xerox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xerox
Context triple: [Wilsonville, Oregon, hasEmployer, Xerox]
  • A. Xerox chosen
    Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
  • B. Kodak Alaris
    Kodak Alaris is a company that focuses on imaging and photographic products and services, including film, photo printing, and document management solutions, formed from the former consumer imaging assets of Eastman Kodak.
  • C. Hewlett-Packard
    Hewlett-Packard is a pioneering American technology company known for its innovations in computing, printers, and enterprise IT solutions.
  • D. Remington Rand
    Remington Rand was a major American business machines and early computer manufacturer, best known for producing the UNIVAC, one of the first commercial computers.
  • E. Cerie Xerox
    Cerie Xerox is a recurring character on the sitcom "30 Rock," known as Liz Lemon’s attractive, laid-back assistant in the TGS writers’ room.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0c9470881908c36c1984fdbb67b completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3e6e55881909417d54e0d8f0a26 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.