Triple
T20978897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Voyage |
E516697
|
entity |
| Predicate | revisedCollectionPublicationYear |
P142337
|
FINISHED |
| Object | 1861 |
—
|
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: 1861 | Statement: [Le Voyage, revisedCollectionPublicationYear, 1861]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revisedCollectionPublicationYear Context triple: [Le Voyage, revisedCollectionPublicationYear, 1861]
-
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
Indicates that the collecting event or data record was documented in a publication that appeared in the specified year.
-
C.
republicationYear
Indicates the year in which a work is published again after its original publication.
-
D.
appearsInPublicationYear
Indicates that an entity is featured in a publication that was released in a specific year.
-
E.
lastPublicationYear
Indicates the year in which an entity’s most recent publication was released.
- F. None of above. chosen
Provenance (4 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fbdc6ca08190919717f4328c7a0d |
completed | April 21, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:47 p.m.