Triple
T20978906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Voyage |
E516697
|
entity |
| Predicate | closingImage |
P142338
|
FINISHED |
| Object | voyage toward the unknown |
—
|
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: voyage toward the unknown | Statement: [Le Voyage, closingImage, voyage toward the unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingImage Context triple: [Le Voyage, closingImage, voyage toward the unknown]
-
A.
closingForm
Indicates that one entity serves as the closing or concluding form, version, or configuration of another entity or process.
-
B.
closingFeatures
Indicates that an entity has specific characteristics, terms, or attributes associated with the act or process of closing (e.g., ending, shutting down, or finalizing something).
-
C.
closingPosition
Indicates that an entity terminates, finalizes, or brings to an end the position or state of another entity.
-
D.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
E.
closingEffect
Indicates the effect or consequence that results from the act of closing something (e.g., a process, period, or object).
- 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.