Triple
T34955013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What You See Is What You Mean |
E1008101
|
entity |
| Predicate | advantageOverWYSIWYG |
P182119
|
FINISHED |
| Object | more consistent structure |
—
|
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: more consistent structure | Statement: [What You See Is What You Mean, advantageOverWYSIWYG, more consistent structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advantageOverWYSIWYG Context triple: [What You See Is What You Mean, advantageOverWYSIWYG, more consistent structure]
-
A.
advantageOverPDF
Indicates that one entity has a benefit or superiority compared to another entity in the context of PDF-related functionality or usage.
-
B.
advantageOverApps
Indicates that one entity possesses a benefit or superiority when compared to applications (apps).
-
C.
editingCapability
Indicates that one entity has the ability or permission to modify or edit another entity or its content.
-
D.
coEditor
Indicates that two or more entities share responsibility for editing the same work or publication.
-
E.
advantageOverTape
Indicates that one method, material, or approach is considered to have a benefit or superiority when compared specifically to tape.
- F. None of above. chosen
Provenance (4 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f7870dfe108190996c0c68630edc7f |
completed | May 3, 2026, 5:34 p.m. |
Created at: May 3, 2026, 4 p.m.