Triple
T26916304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vigenère table |
E677525
|
entity |
| Predicate | row2 |
P97688
|
FINISHED |
| Object | CDEFGHIJKLMNOPQRSTUVWXYZAB |
—
|
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: CDEFGHIJKLMNOPQRSTUVWXYZAB | Statement: [Vigenère table, row2, CDEFGHIJKLMNOPQRSTUVWXYZAB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: row2 Context triple: [Vigenère table, row2, CDEFGHIJKLMNOPQRSTUVWXYZAB]
-
A.
rows
Indicates that one entity is arranged in a horizontal line or sequence relative to another, typically as part of a grid or tabular structure.
-
B.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
C.
column
Indicates a vertical structural element that supports or separates parts within a larger construction or arrangement.
-
D.
secondRank
chosen
Indicates that one entity holds the second position or rank in order or hierarchy relative to others.
-
E.
secondInLine
Indicates that one entity occupies the second position in a sequence or queue immediately following the first.
- 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_69eee9bdebc48190ba90a12a63e09c73 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fde093c81908c03c224547b251f |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:04 a.m.