Triple
T9627563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moore 1965 paper |
E232506
|
entity |
| Predicate | graphicallyIllustrates |
P77199
|
FINISHED |
| Object | logarithmic plot of components per integrated circuit versus time |
—
|
LITERAL 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: logarithmic plot of components per integrated circuit versus time | Statement: [Moore 1965 paper, graphicallyIllustrates, logarithmic plot of components per integrated circuit versus time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicallyIllustrates Context triple: [Moore 1965 paper, graphicallyIllustrates, logarithmic plot of components per integrated circuit versus time]
-
A.
chartDepiction
Indicates that one entity is a chart that visually represents or depicts information about another entity.
-
B.
isUsedToIllustrate
Indicates that one entity serves as an example or demonstration to clarify, explain, or represent another entity.
-
C.
visualizedIn
chosen
Indicates that something is represented or depicted within a particular visual medium, view, or visualization.
-
D.
depicts
Indicates that one entity visually represents, portrays, or shows another entity.
-
E.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
- F. None of above.
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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9afeb64c8190be91024c2e9039d3 |
completed | April 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:10 p.m.