Triple
T7388573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 32000-1 |
E170442
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Adobe PDF 1.7 specification |
E170442
|
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: Adobe PDF 1.7 specification | Statement: [ISO 32000-1, basedOn, Adobe PDF 1.7 specification]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adobe PDF 1.7 specification Context triple: [ISO 32000-1, basedOn, Adobe PDF 1.7 specification]
-
A.
ISO 32000
chosen
ISO 32000 is the international standard that defines the specifications and requirements for the Portable Document Format (PDF).
-
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.
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.
-
D.
Adobe Acrobat
Adobe Acrobat is a widely used software application for creating, viewing, editing, and managing PDF (Portable Document Format) documents across multiple platforms.
-
E.
PDF/X
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.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f3f5f48190aabe69ba79cbcb93 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810ed3a00819088c6eee3d8b8a7e9 |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:09 p.m.