Triple

T8611266
Position Surface form Disambiguated ID Type / Status
Subject Android system print framework E203918 entity
Predicate usesFormat P130 FINISHED
Object PDF E29775 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: PDF | Statement: [Android system print framework, usesFormat, PDF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PDF
Context triple: [Android system print framework, usesFormat, PDF]
  • A. PDF/E
    PDF/E is an ISO-standardized subset of the PDF format designed specifically for reliable creation, exchange, and archiving of engineering and technical documents, such as CAD and geospatial data.
  • B. PDF/A
    PDF/A is an ISO-standardized version of the PDF format designed specifically for long-term archiving and reliable reproduction of electronic documents.
  • C. Pades
    Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
  • D. Portable Document Format chosen
    Portable Document Format (PDF) is a widely used file format designed for reliably presenting and exchanging documents independent of software, hardware, or operating systems.
  • E. PDF/VT
    PDF/VT is an ISO-standardized subset of the PDF format designed specifically for variable and transactional printing, enabling efficient, high-volume personalized document production.
  • 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.