Triple
T1500115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portable Document Format |
E29775
|
entity |
| Predicate | hasSubset |
P5797
|
FINISHED |
| Object | PDF/X |
E172888
|
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/X | Statement: [Portable Document Format, hasSubset, PDF/X]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PDF/X Context triple: [Portable Document Format, hasSubset, PDF/X]
-
A.
PDF/X
chosen
PDF/X is a family of ISO-standardized PDF formats designed specifically to ensure reliable, predictable exchange of print-ready graphic content in professional publishing workflows.
-
B.
PostScript
PostScript is a page description and programming language widely used in desktop publishing and printing to precisely define the layout and appearance of text and graphics.
-
C.
PDF/UA
PDF/UA is an ISO-standardized version of the PDF format specifically designed to ensure documents are accessible to users with disabilities and compatible with assistive technologies.
-
D.
ISO 32000
ISO 32000 is the international standard that defines the specifications and requirements for the Portable Document Format (PDF).
-
E.
Portable Document Format
Portable Document Format (PDF) is a widely used file format designed for reliably presenting and exchanging documents independent of software, hardware, or operating systems.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6f2d7f881909188a3e5614335cd |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2945360c8190b20dfdf2f7be4fea |
completed | March 8, 2026, 7:46 a.m. |
Created at: March 1, 2026, 8:12 p.m.