Triple
T22449576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Water, water, every where, nor any drop to drink" |
E554953
|
entity |
| Predicate | rhymeSchemeContext |
P8081
|
FINISHED |
| Object | ABCB ballad stanza |
—
|
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: ABCB ballad stanza | Statement: ["Water, water, every where, nor any drop to drink", rhymeSchemeContext, ABCB ballad stanza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rhymeSchemeContext Context triple: ["Water, water, every where, nor any drop to drink", rhymeSchemeContext, ABCB ballad stanza]
-
A.
rhymeScheme
chosen
Indicates the pattern of end sounds in a sequence of lines, showing which lines rhyme with each other.
-
B.
hasRhymeSchemeFeature
Indicates that a poetic work exhibits a specific characteristic or pattern related to its rhyme scheme.
-
C.
hasRhymeStyle
Indicates that two linguistic elements share the same pattern or style of rhyming.
-
D.
hasRhymeLine
Indicates that one line of text rhymes with another line.
-
E.
hasRhymingText
Indicates that two pieces of text share a rhyming relationship, typically ending with similar or identical sounds.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4ae8a08190ba6027f036ce62af |
completed | April 29, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69e898ad961c819098fd1e46129bddcc |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:48 p.m.