Triple
T6790331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PCL |
E155914
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | PCL 5e |
E155914
|
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: PCL 5e | Statement: [PCL, hasVersion, PCL 5e]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PCL 5e Context triple: [PCL, hasVersion, PCL 5e]
-
A.
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.
-
B.
Pades
Pades is a village in northwestern Greece located in the mountainous region near Mount Smolikas.
-
C.
PCL
chosen
PCL (Printer Command Language) is a page description language developed by Hewlett-Packard that became a widely used standard for controlling laser and inkjet printers.
-
D.
PasteScript
PasteScript is a Python-based command-line tool that streamlines creating, managing, and deploying web application projects through reusable templates and scripts.
-
E.
ISO 32000
ISO 32000 is the international standard that defines the specifications and requirements for the Portable Document Format (PDF).
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723cc35cc8190b5affdfd363171ba |
completed | March 28, 2026, 12:41 a.m. |
Created at: March 27, 2026, 2:15 p.m.