Triple
T25260928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters of a Russian Traveller |
E633300
|
entity |
| Predicate | timeOfJourneyDescribed |
P161451
|
FINISHED |
| Object | late 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: late 18th century | Statement: [Letters of a Russian Traveller, timeOfJourneyDescribed, late 18th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfJourneyDescribed Context triple: [Letters of a Russian Traveller, timeOfJourneyDescribed, late 18th century]
-
A.
timeOfJourneyEnd
Indicates the point in time at which a journey or trip concludes.
-
B.
dateOfJourney
Indicates the specific calendar date on which a particular journey or trip takes place.
-
C.
voyageDuration
Indicates the length of time that a voyage or journey lasts from its start to its end.
-
D.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
-
E.
returnJourneyLength
Indicates the total distance or duration of a journey back from a destination to its point of origin.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f613bc641c819084343cc78d080640 |
completed | May 2, 2026, 3:09 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f613502d808190b89927e5e734b43a |
completed | May 2, 2026, 3:08 p.m. |
Created at: April 21, 2026, 1:13 p.m.