Triple
T7636373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDF/X |
E172888
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | PDF for Exchange |
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 for Exchange | Statement: [PDF/X, fullName, PDF for Exchange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PDF for Exchange Context triple: [PDF/X, fullName, PDF for Exchange]
-
A.
PDF services API
PDF Services API is an Adobe Document Cloud developer tool that enables programmatic creation, conversion, and manipulation of PDF documents within applications and workflows.
-
B.
Pades
Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
-
C.
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.
-
D.
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.
-
E.
Adobe Document Cloud
Adobe Document Cloud is Adobe’s integrated suite of cloud-based services and apps for creating, editing, managing, and securely sharing PDF documents across devices.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa95e488190962c23609e0890a5 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870c33ce081908df916d769fa84be |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.