Triple

T8611379
Position Surface form Disambiguated ID Type / Status
Subject Internet Printing Protocol E203920 entity
Predicate laterUpdatedBy P1121 FINISHED
Object IPP Everywhere E748482 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: IPP Everywhere | Statement: [Internet Printing Protocol, laterUpdatedBy, IPP Everywhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IPP Everywhere
Context triple: [Internet Printing Protocol, laterUpdatedBy, IPP Everywhere]
  • A. IPP Everywhere chosen
    IPP Everywhere is a driverless printing standard that enables automatic, cross-platform printing to compatible network printers using the Internet Printing Protocol.
  • B. IPP
    IPP (Internet Printing Protocol) is a modern network printing protocol that supports advanced features like secure, authenticated printing and detailed job management over IP-based networks.
  • C. PIP
    PIP is a UK welfare benefit that helps disabled people or those with long-term health conditions cover the extra costs of daily living and mobility.
  • D. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • E. IP
    IP is the acronym for Infraestruturas de Portugal, the Portuguese state-owned company responsible for managing the country’s road and rail infrastructure.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc5c2d852081908901f5d2a47035b0 completed March 31, 2026, 11:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef33f0aa0819091e101f822c53c0f completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:25 p.m.