Triple
T14530100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A December Day in Dixie |
E340886
|
entity |
| Predicate | hasOriginalCollectionPublicationYear |
P60763
|
FINISHED |
| Object | 1897 |
—
|
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: 1897 | Statement: [A December Day in Dixie, hasOriginalCollectionPublicationYear, 1897]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalCollectionPublicationYear Context triple: [A December Day in Dixie, hasOriginalCollectionPublicationYear, 1897]
-
A.
laterCollectionPublicationYear
Indicates that the referenced collection was published in a year later than the year associated with the compared collection or work.
-
B.
collectedInPublicationYear
chosen
Indicates that the collecting event or data record was documented in a publication that appeared in the specified year.
-
C.
relatedWorkPublicationYear
Indicates the year in which a related work associated with the primary entity was published.
-
D.
originalIntendedPublicationYear
Indicates the year in which a work was initially planned or intended to be published, regardless of when it was actually released.
-
E.
authorWorkPublicationYear
Indicates the year in which a specific work created by an author was published.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c518fc08190a6ce4d8be05c4c5d |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.