Triple

T8611121
Position Surface form Disambiguated ID Type / Status
Subject Internet Printing Protocol E203914 entity
Predicate compatibleWith P203 FINISHED
Object IPP Everywhere E736560 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, compatibleWith, IPP Everywhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IPP Everywhere
Context triple: [Internet Printing Protocol, compatibleWith, IPP Everywhere]
  • A. IPP chosen
    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.
  • B. 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.
  • C. PIP
    PIP is a Puerto Rican political party that advocates for the island’s full independence from the United States.
  • D. IP
    IP is the acronym for Infraestruturas de Portugal, the Portuguese state-owned company responsible for managing the country’s road and rail infrastructure.
  • E. IP
    IP (Internet Protocol) is the core networking protocol that defines how data is addressed and routed across interconnected computer networks such as the internet.
  • 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_69cc46fc31e08190aab5ab8f92f3315c completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea91456a88190a7416b0f1a0327d6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:25 p.m.