Triple
T17557554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOML |
E427624
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Poetry |
—
|
NE NERFINISHED |
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: Poetry | Statement: [TOML, usedBy, Poetry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poetry Context triple: [TOML, usedBy, Poetry]
-
A.
Poetry
chosen
Poetry is a Python dependency management and packaging tool that simplifies creating, building, and publishing Python projects.
-
B.
Poetry Please
Poetry Please is a long-running BBC Radio 4 programme that features listeners’ requests for classic and contemporary poetry, often introduced and read by notable poets and actors.
-
C.
Poetry Review
Poetry Review is a leading British literary magazine dedicated to publishing contemporary poetry, criticism, and essays.
-
D.
Essay on Poetry
Essay on Poetry is a critical and reflective poem by John Sheffield, 1st Duke of Buckingham and Normanby, that articulates principles of poetic composition and taste in the late 17th century.
-
E.
Poesias
Poesias is a collection of poems by Portuguese writer, politician, and literary historian Teófilo Braga, reflecting his role in 19th-century Portuguese Romantic and nationalist literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
Created at: April 10, 2026, 5:50 a.m.