Triple
T26916303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vigenère table |
E677525
|
entity |
| Predicate | row1 |
P13894
|
FINISHED |
| Object | BCDEFGHIJKLMNOPQRSTUVWXYZA |
—
|
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: BCDEFGHIJKLMNOPQRSTUVWXYZA | Statement: [Vigenère table, row1, BCDEFGHIJKLMNOPQRSTUVWXYZA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: row1 Context triple: [Vigenère table, row1, BCDEFGHIJKLMNOPQRSTUVWXYZA]
-
A.
rows
chosen
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.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
C.
rode
Indicates that one entity traveled on or was carried by another entity, typically using it as a means of transportation.
-
D.
column
Indicates a vertical structural element that supports or separates parts within a larger construction or arrangement.
-
E.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
- 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.