Triple
T22921438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alph |
E568871
|
entity |
| Predicate | hasMeterContext |
P4875
|
FINISHED |
| Object | irregular iambic tetrameter and pentameter lines |
—
|
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: irregular iambic tetrameter and pentameter lines | Statement: [Alph, hasMeterContext, irregular iambic tetrameter and pentameter lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMeterContext Context triple: [Alph, hasMeterContext, irregular iambic tetrameter and pentameter lines]
-
A.
hasMeter
chosen
Indicates that one entity possesses, uses, or is associated with a specific meter (a measuring device or metrical pattern).
-
B.
hasAssociatedMetric
Indicates that an entity is linked to a specific metric used to quantify, evaluate, or monitor some aspect of that entity.
-
C.
hasMaterialContext
Indicates that something is associated with, influenced by, or situated within a particular physical or material context.
-
D.
hasTrackContext
Indicates that an entity is associated with or occurs within a particular track-related context (such as a specific track, route, or sequence).
-
E.
hasPerformanceContext
Indicates that an entity is associated with a specific performance-related situation, setting, or set of conditions under which it operates or is evaluated.
- 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180d5658c81908dbbb5882fcc1b8b |
completed | April 29, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:43 p.m.