Triple
T36407073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Walton's ship |
E896774
|
entity |
| Predicate | timeOfFictionalVoyage |
P136991
|
FINISHED |
| Object | 18th century |
—
|
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: 18th century | Statement: [Robert Walton's ship, timeOfFictionalVoyage, 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFictionalVoyage Context triple: [Robert Walton's ship, timeOfFictionalVoyage, 18th century]
-
A.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
B.
centuryOfVoyage
chosen
Indicates the century during which the voyage took place.
-
C.
fictionalTime
Indicates that the associated time or temporal reference exists only within a fictional or imagined context, rather than in real-world chronology.
-
D.
voyageDestinationInFiction
Indicates that a fictional voyage or journey is directed toward or ends at a particular destination within a work of fiction.
-
E.
voyageOn
Indicates that an entity is traveling or being transported aboard a particular vessel or means of sea (or space) travel.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.