Triple
T34818521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeats Country |
E1003701
|
entity |
| Predicate | hasPoeticAssociation |
P52908
|
FINISHED |
| Object | “The Lake Isle of Innisfree” |
—
|
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: “The Lake Isle of Innisfree” | Statement: [Yeats Country, hasPoeticAssociation, “The Lake Isle of Innisfree”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoeticAssociation Context triple: [Yeats Country, hasPoeticAssociation, “The Lake Isle of Innisfree”]
-
A.
associatedWithPoem
chosen
Indicates a relationship in which an entity is connected or linked to a particular poem, such as by authorship, subject, reference, or contextual association.
-
B.
poetAssociated
Indicates a relationship where a poet is connected or linked to another entity, such as a work, place, movement, or person, through relevance, collaboration, influence, or affiliation.
-
C.
hasPoeticAttestations
Indicates that the subject is documented or evidenced in poetic sources or literary works.
-
D.
hasPoeticLyrics
Indicates that something (such as a song, text, or speech) contains lyrics or wording that are artistic, expressive, or characteristic of poetry.
-
E.
usesPoeticSources
Indicates that one entity draws upon or incorporates poetic works or poetic material as sources in relation to another entity or context.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff38b960808190a8263348f1e5c0e4 |
completed | May 9, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69ff37d97d9c8190849b2bac14f9af1d |
completed | May 9, 2026, 1:34 p.m. |
Created at: May 3, 2026, 4 p.m.