Triple
T272509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IBM PC |
E5665
|
entity |
| Predicate | textMode |
P8613
|
FINISHED |
| Object | 80x25 characters |
—
|
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: 80x25 characters | Statement: [IBM PC, textMode, 80x25 characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textMode Context triple: [IBM PC, textMode, 80x25 characters]
-
A.
textType
Indicates the classification of a text according to its type, format, or genre.
-
B.
centralText
Indicates that one text element is positioned or designated as the central or primary text relative to surrounding content or layout.
-
C.
currentText
Indicates that the referenced text is the one presently in effect, use, or display, as opposed to past or alternative versions.
-
D.
texture
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
E.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dcf667c8190a7b8630fe67b9a90 |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7345c4819086c21710864a1b42 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.